Python Developer Jobs in Egypt

Job Summary The Senior Odoo Implementation Specialist is responsible for leading and supporting the implementation, configuration, optimization, and adoption of Odoo across the organization. The role works closely with different business functions to understand requirements, improve existing processes, translate business needs into practical Odoo solutions, and ensure effective system utilization across branches and departments.<br>Key Responsibilities· Take ownership of Odoo implementation activities, ensuring successful deployment and continuous improvement of the system.· Analyze existing business processes and identify opportunities for process optimization through Odoo.· Gather and translate business requirements from Finance, Inventory, Sales, Purchasing, HR, Retail, and other departments into practical Odoo solutions.· Configure and customize Odoo modules based on business requirements and operational needs.· Support Odoo users across different departments and provide guidance to ensure proper system adoption.· Work closely with business stakeholders to identify system gaps, resolve issues, and improve overall system efficiency.· Manage system testing, user acceptance testing (UAT), issue tracking, and implementation follow-up.· Coordinate with external Odoo partners on technical issues, customizations, integrations, and complex system requirements.· Ensure proper documentation of system configurations, workflows, processes, and implemented solutions.· Monitor system performance and identify opportunities for automation and process improvement.· Support integrations between Odoo and other business systems using APIs and available integration tools.· Assist in data migration, data validation, and maintaining data accuracy across Odoo modules.· Develop and deliver user training, system guidelines, and best practices to improve user adoption.· Support multi-branch operations and ensure consistent system processes across different locations.· Stay updated on Odoo features, best practices, and new functionalities to continuously improve the company's use of the platform.<br>Qualifications<br>Education Bachelor’s degree in Information Technology, Computer Science, Business Information Systems, Business Administration, or a related field. Experience3–5 years of experience in Odoo implementation, ERP implementation, business systems, or a similar role.<br>Soft Skills· Strong analytical and problem-solving skills.· Excellent communication and stakeholder management skills.· Ability to understand business requirements and translate them into practical system solutions.· Strong ownership and ability to work independently.· Ability to manage multiple projects, priorities, and stakeholders simultaneously.· Detail-oriented with a continuous improvement mindset.<br>Technical Skills Strong hands-on experience in Odoo configuration and implementation. Good understanding of Finance, Inventory, Sales, Purchasing, HR, and Retail processes. Experience with multi-branch business operations is preferred. Knowledge of Odoo Studio, workflows, automation, APIs, SQL, Python, and XML is a plus.<br>Language Skills Excellent in English (spoken and written).<br>Computer Skills Proficiency in Microsoft Office and strong knowledge of ERP systems, Odoo, and business process management tools.<br>Other Requirements Ability to take ownership of Odoo implementation projects, work effectively with internal stakeholders and external Odoo partners, and ensure successful system adoption across the organization.<br>Core Competencies· Odoo Implementation & Configuration· Business Process Optimization· ERP & System Integration· Business Requirements Analysis· User Adoption & Training· Problem Solving & Troubleshooting· Stakeholder Management· Continuous Improvement

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Who we are</b> <br></span><p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation. <br>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. <br>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. <br>#VOIS #BeUnrivalled #CreateTheFuture</p><br><br><br><b>About this Role</b> <br>We are seeking a Senior DevOps &amp; Cloud Engineer to join our Cloud &amp; Platform Engineering team. In this role, you will work collaboratively with software engineering, security, architecture, and application teams to design, build, transition, and maintain cloud infrastructure solutions, primarily on AWS. You will play a key role in driving DevOps and DevSecOps transformation initiatives, delivering secure, scalable, and production-ready cloud platforms and applications while enabling faster delivery and operational excellence across multiple projects.<br><br><br><b>What you’ll do</b> <br>Design, implement, configure, and maintain cloud infrastructure solutions, primarily on AWS, using Infrastructure as Code and configuration management practices.<br> Collaborate with architecture teams to integrate AWS services within supported cloud solutions.<br> Build, integrate, and maintain CI/CD platforms, pipelines, and associated toolsets.<br> Implement and optimise continuous integration and continuous delivery processes to support efficient application deployment and operations.<br> Partner with software engineering teams to manage and operate microservices-based environments.<br> Develop automated and AI-enabled solutions for cloud provisioning, management, DevSecOps practices, and Cloud FinOps initiatives. Establish and maintain monitoring frameworks to improve service observability and reliability.<br> Troubleshoot, support, and resolve issues across cloud and IT projects.<br> Ensure high levels of platform availability, performance, and security.<br> Contribute to the successful delivery of cloud transformation projects and DevSecOps adoption programmes.<br><br><br><b>Who you are</b> <br>Degree in Engineering, Computer Science, or a related discipline.<br> 3-5 years of experience.<br> Hands-on experience with cloud platforms, particularly AWS and its managed services.<br> Experience working with CI/CD and DevSecOps tools such as GitHub Actions, Azure DevOps, and SonarQube.<br> Strong expertise in Infrastructure as Code using Terraform.<br> Practical experience with automation and configuration management tools such as Ansible. Experience with Puppet or Chef is beneficial.<br> Good understanding of microservices architecture and cloud-native application environments.<br> Strong knowledge of Kubernetes and containerised workloads using Docker.<br> Experience with version control systems, particularly GitHub.<br> Linux administration and scripting experience across major distribution.<br> Understanding of networking, databases, DNS, proxies, and security concepts.<br> Knowledge of backup and recovery, disaster recovery, vulnerability management, and patch management.<br> Working knowledge of Python.<br> Strong understanding of DevOps principles and agile ways of working.<br> Customer-focused mindset with a commitment to delivering high-quality outcomes.<br><br><br><b>Not a perfect fit?</b> <br><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><br><br><br><b>What's in it for you</b> <br>Opportunity to work on large-scale AWS cloud transformation programmes.Exposure to modern DevSecOps practices and cloud-native engineering methodologies.Engagement with automation, Infrastructure as Code, Kubernetes, and AI-enabled cloud operations.Collaborative working environment with cross-functional engineering and architecture teams.Opportunity to contribute to secure, scalable, and resilient cloud platform solutions.<br><br><br><b>What skills you will learn</b> <br>Advanced AWS cloud engineering and platform operations.DevSecOps implementation and continuous delivery optimisation.Infrastructure as Code using Terraform and configuration automation technologies.Kubernetes orchestration and microservices platform management.Cloud monitoring, observability, automation, and FinOps practices.Agile delivery methodologies and enterprise-scale cloud transformation approaches.<br><br><br><b>VOIS Equal Opportunity Employer Commitment</b> <br><p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.&nbsp;</p><br><br><br><b>Join Us</b> <br><p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. <br>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. <br>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p><br><br><br><b>Alert </b> <br><p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. <br>#JDEnhancedByTARA</p><br><br><br><b>Follow us on social media</b> <br>LinkedIn: VOIS LinkedIn<br> Facebook:&nbsp;VOIS Facebook<br> Instagram:&nbsp;VOIS Instagram<br> You can also chat with our employees to learn more about our projects:&nbsp;Employee Connect<br><br><br><br> </div>

Senior Site Reliability Engineer<br>Intellias is looking for a Senior Site Reliability Engineer to join a large-scale digital healthcare initiative focused on building and operating a secure, highly available, and reliable cloud platform. This is a hands-on production engineering role for an experienced SRE/Dev Ops engineer who combines deep expertise in AWS and Kubernetes with infrastructure automation, observability, reliability engineering, and advanced troubleshooting skills. You will help operate and evolve a production healthcare platform running entirely on AWS, establish reliability standards, automate infrastructure and operational workflows, and ensure the platform remains scalable, observable, secure, and resilient.<br>Project Overview The project is a cloud-native healthcare data platform connecting data from EHRs, digital health applications, wearables, portals, and other healthcare sources to enable integrated and personalized healthcare experiences. The production platform runs on AWS and Kubernetes/EKS and supports distributed services handling sensitive healthcare data at scale. Reliability is treated as an engineering discipline built around SLIs, SLOs, error budgets, automation, observability, and well-defined operational practices. The infrastructure ecosystem includes AWS, EKS, Kubernetes, Terraform/Open Tofu/Pulumi, Argo CD, Helm, Git Hub Actions, Grafana, Datadog, Open Telemetry, and modern cloud-native technologies. The role includes significant production ownership and participation in an on-call rotation.<br>Key Responsibilities Operate and evolve a production healthcare platform on AWS and Kubernetes/EKS, ensuring reliability, scalability, security, and operational efficiency. Design, implement, and maintain infrastructure using Infrastructure-as-Code, minimizing manual configuration and operational dependencies. Automate infrastructure provisioning, deployments, monitoring, scaling, recovery, and recurring operational processes. Define and continuously improve SLIs, SLOs, error budgets, alerts, dashboards, and reliability metrics. Build and maintain observability solutions that proactively identify and resolve issues before they impact users. Operate and optimize Kubernetes/EKS environments, including cluster lifecycle, scaling, upgrades, networking, workload reliability, and troubleshooting. Build and evolve Git Ops-based infrastructure and deployment workflows using tools such as Argo CD and Helm. Design and maintain reliable, secure, and efficient CI/CD pipelines, preferably using Git Hub Actions. Improve platform resilience through fault-tolerant architecture, automated recovery, disaster recovery, and failure-testing practices. Investigate and resolve complex production issues across infrastructure, Kubernetes, networking, distributed services, and application layers. Participate in on-call rotations, incident response, root-cause analysis, and post-incident improvements. Reduce operational toil by replacing repetitive manual processes with reliable automation. Develop reusable infrastructure tooling and self-service capabilities for engineering teams. Maintain technical documentation, runbooks, operational procedures, and infrastructure standards. Apply security-by-design principles across infrastructure, access management, networking, secrets, and production operations. Collaborate with software engineering, security, data, and product teams to address infrastructure and reliability requirements early in the development lifecycle. Evaluate emerging cloud-native technologies and introduce them where they provide measurable improvements in reliability, security, scalability, or engineering efficiency.<br>Requirements5+ years of professional experience in Site Reliability Engineering, Dev Ops, Platform Engineering, Cloud Infrastructure, or a comparable production engineering role. Strong hands-on experience with AWS and production cloud-native environments. Deep practical knowledge of Kubernetes, preferably AWS EKS, including production operations, scaling, upgrades, networking, troubleshooting, and workload management. Strong Linux expertise, including system internals, networking, process management, resource troubleshooting, and production diagnostics. Strong Infrastructure-as-Code experience with Terraform, Open Tofu, Pulumi, or comparable technologies. Hands-on experience with Git Ops, using tools such as Argo CD, Helm, or equivalent. Strong automation and scripting skills with Python, Go, Bash, or comparable languages. Experience designing and maintaining production CI/CD pipelines, preferably with Git Hub Actions. Strong understanding of SRE principles, including SLIs, SLOs, error budgets, availability, resilience, capacity management, and incident response. Hands-on experience with observability and monitoring platforms such as Grafana, Datadog, Prometheus, or comparable technologies. Strong understanding of networking fundamentals, including TCP/IP, DNS, load balancing, firewalls, routing, and TLS. Experience operating and troubleshooting distributed microservices architectures in production. Strong understanding of cloud security principles, including least privilege, IAM, secrets management, network security, and secure infrastructure configuration. Experience designing for high availability, disaster recovery, fault tolerance, and operational resilience. Strong production troubleshooting skills with the ability to investigate complex issues across infrastructure, networking, Kubernetes, and application layers. Experience participating in production on-call and incident response rotations. Strong ownership mindset with a focus on automation and eliminating operational toil. Professional English sufficient for direct collaboration with U. S.-based engineering and product stakeholders.<br>Nice to Have Hands-on experience with Open Telemetry instrumentation and distributed tracing. Experience operating infrastructure in HIPAA, HITRUST, SOC 2, or similarly regulated environments. Previous experience in healthcare, Health Tech, or platforms handling PHI/PII and other sensitive data. Advanced experience with Prometheus, metrics, and alerting architectures. Experience designing and operating multi-region or highly available AWS architectures. Experience building internal infrastructure or platform tooling for engineering teams. Contributions to open-source cloud-native or infrastructure projects. Practical experience using AI-assisted engineering tools for infrastructure automation, incident analysis, troubleshooting, documentation, or operational workflows.<br>Why This Position? This role provides an opportunity to take significant ownership of the reliability and infrastructure of a production healthcare platform operating entirely in the cloud. You will work with modern cloud-native technologies including AWS, Kubernetes/EKS, Infrastructure-as-Code, Git Ops, CI/CD, and distributed observability, while solving real production challenges around availability, scalability, security, and operational efficiency. Reliability is treated as an engineering discipline rather than reactive operations, with a strong focus on automation, measurable SLOs, proactive observability, resilient architecture, and continuously reducing operational toil. You will have substantial technical autonomy and direct production impact. You will not simply maintain infrastructure — you will engineer the platform, automate it, measure its reliability, troubleshoot it at every layer, and continuously improve how it operates.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><b>Position Overview</b></p><p>As the Technical Lead AI &amp; Machine Learning at Arrow Electronics, you will play a key role in delivering enterprise AI and machine learning solutions across intelligent products and internal automation platforms. Working under the direction of the AI leadership team, you will translate strategic AI initiatives into scalable, production-ready solutions while providing technical leadership to a team of AI engineers and data scientists. You will lead the implementation of advanced AI systems throughout the complete machine learning lifecycle, including data preparation, model development, experimentation, deployment, monitoring, and continuous optimization. Your expertise will span machine learning, deep learning, neural networks, generative AI, intelligent automation, and large language models. As the technical lead for project execution, you will collaborate closely with software engineering, product management, and data engineering teams to ensure AI solutions are delivered with high quality, scalability, and business impact while mentoring engineers and promoting engineering best practices.</p><p>Key Responsibilities</p><p>Technical Execution</p><ul><li>Lead the technical implementation of AI and machine learning initiatives aligned with the organization's AI strategy and roadmap.</li><li>Translate product and AI leadership vision into scalable technical solutions.</li><li>Drive engineering best practices, code quality, documentation, and software design across AI projects.</li><li>Collaborate with AI leadership, product managers, software engineers, and data engineers to successfully deliver AI-powered products.</li></ul><p>Machine Learning &amp; Deep Learning</p><ul><li>Design, develop, and optimize machine learning, deep learning, and neural network models for real-world business applications.</li><li>Build predictive models, recommendation systems, forecasting models, anomaly detection solutions, classification systems, and intelligent automation workflows.</li><li>Fine-tune transformer models and other deep learning architectures using modern training techniques.</li></ul><p>Generative AI &amp; Intelligent Systems</p><ul><li>Develop applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, semantic search, embeddings, and prompt engineering.</li><li>Build intelligent workflows integrating LLMs with enterprise systems, vector databases, and external tools.</li><li>Evaluate new AI technologies and recommend practical adoption opportunities.</li><li>Deploy and maintain AI models in production environments.</li></ul><p>Production AI &amp; MLOps</p><ul><li>Ensure AI systems are reliable, secure, efficient, and maintainable.</li></ul><p>Mentorship &amp; Innovation</p><ul><li>Mentor AI engineers and junior machine learning engineers through technical guidance, code reviews, and knowledge sharing.</li><li>Promote engineering excellence, continuous learning, and adoption of modern AI development practices.</li><li>Support technical interviews and onboarding of new team members.</li><li>Stay current with emerging developments in artificial intelligence, machine learning, deep learning, and generative AI.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>6+ years of experience developing and deploying production AI and machine learning solutions.</li><li>Demonstrated experience leading the technical implementation of AI/ML projects.</li><li>Strong proficiency in Python and data science libraries including NumPy, pandas, scikit-learn, and related tools.</li><li>Strong understanding of statistics, machine learning algorithms, feature engineering, and model evaluation.</li><li>Strong knowledge of neural networks, transformer architectures, and modern deep learning techniques.</li><li>Experience building applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and prompt engineering.</li><li>Experience with NLP, document intelligence, semantic search, embeddings, information extraction, and named entity recognition.</li><li>Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field is preferred.</li><li>Experience deploying AI services using cloud platforms and modern software engineering practices.</li><li>Familiarity with vector databases, search technologies, and MLOps practices.</li></ul><p></p></section>

<p><strong>About the Company</strong></p><p><br></p><ul><li>Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics.</li><li>Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges.</li><li>We deliver projects from inception through completion, embracing challenges to empower communities worldwide.</li><li>Learn more at www.dar.com.</li></ul><p><br></p><p>Our Vision and Values:</p><p><br></p><ul><li>We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation.</li><li>Our core values shape our culture and guide our decision-making.</li><li>We are committed to:</li><li>Excellence</li><li>Responsibility</li><li>Empowerment</li><li>Connectivity</li><li>Courage</li></ul><p><br></p><p><strong>Job Purpose</strong></p><p>The role of the AI Security Engineer at Dar will be to secure the artificial intelligence systems used across the organization by designing and implementing guardrails, applying the security controls defined by the Cybersecurity team, and safeguarding the models, APIs, data pipelines, and applications that support design and project delivery. Working in close partnership with Cybersecurity, AI engineers, and data scientists, the role also supports AI Technology leads in developing the procedures and standards that govern the responsible and compliant use of AI at enterprise level.</p><p><br></p><p><strong>Key Responsibilities </strong></p><p><br></p><ul><li>Design, implement, and maintain guardrails for existing AI and LLM-based systems, including input/output filtering, prompt-injection and jailbreak defenses, PII and sensitive-content redaction, tool and agent permission boundaries, and usage/rate limits.</li><li>Implement the security controls identified and communicated by the Cybersecurity team across AI platforms, models, APIs, and data pipelines, covering identity and access management, secrets management, encryption, logging, and network segregation, and evidence that those controls are operating effectively.</li><li>Support Technology and Information Security leads in developing enterprise AI security procedures, standards, and acceptable-use guidance</li><li>Perform security testing of AI models and applications, covering prompt injection, insecure output handling, data exfiltration, and model supply-chain risks; document findings and track remediation with the owning engineering teams.</li><li>Secure the AI/ML supply chain and MLOps pipeline through model and dataset provenance checks, dependency and container scanning, artifact integrity, and secure CI/CD for model deployment.</li><li>Build alerting techniques for deployed AI systems to notify on AI misuse, guardrail bypass attempts, anomalous usage, and security-relevant model drift, escalating to the Cybersecurity team in line with agreed procedures.</li><li>Collaborate with AI, data and security teams to develop data leak prevention service.</li><li>Align with cybersecurity to integrate a suitable AI security assessment tool — to continuously evaluate the AI applications against security checks, rather than one-off manual reviews</li><li>Assist Cybersecurity team in assessing the security and data-protection posture of third-party AI models, vendors, and APIs prior to onboarding, and document residual risks together with the required compensating controls.</li><li>Maintain technical documentation, control records, and audit evidence to support internal reviews, client security requirements, and regulatory compliance.</li><li>Stay current with the evolving AI threat landscape, regulations, and tooling, and contribute to internal awareness, mentoring, and knowledge sharing on secure AI practice.</li></ul><p><br></p><p><strong>Qualifications</strong></p><ul><li><strong>Must have</strong> a degree in Computer Science, Cybersecurity, Artificial Intelligence, Data Science, or related field</li><li><strong>Must have</strong> 1-3 years professional experience spanning AI/ML and information security, with hands-on exposure to at least two of the following: LLM or agentic application development, application security, cloud security, security engineering/DevSecOps, or machine learning model deployment</li><li>Working knowledge of AI-specific risks and mitigations, such as the OWASP Top 10 for LLM Applications, MITRE ATLAS, and adversarial machine learning techniques, is <strong>preferred</strong></li><li><strong>Must have</strong> practical exposure to guardrail and AI safety tooling (for example NeMo Guardrails, Guardrails AI, Llama Guard, Azure AI Content Safety, or equivalent), including evaluation and tuning of filtering policies</li><li><strong>Must have</strong> proficiency in Python and SQL; knowledge of C#/C/C++ <strong>is a plus</strong></li><li><strong>Must be </strong>familiar with AI frameworks such as TensorFlow, PyTorch, or Hugging Face, and <strong>must have</strong> experience building or securing APIs for custom, cloud-based or third-party AI models</li><li>Understanding of cloud and platform security fundamentals on Azure and/or AWS, including IAM, secrets management, encryption, network controls, logging, and secure containerized deployment, <strong>is preferred</strong></li><li>Familiarity with security and AI governance frameworks such as ISO/IEC 27001, ISO/IEC 42001, the NIST AI Risk Management Framework, and data protection principles under GDPR or equivalent regulations, <strong>is preferred</strong></li><li>Experience working with relational and/or non-relational databases and with the secure handling of personal and confidential data, <strong>is a must </strong></li><li><strong>Must have</strong> excellent problem-solving and communication skills, with the ability to translate security requirements into practical engineering changes and to work effectively in a team environment</li><li>Strong interest in AI systems security <strong>is a must</strong></li><li>Relevant certifications (such as CompTIA Security+, Azure/AWS security associate, CEH, or an AI security credential) <strong>are a plus</strong>.</li></ul><p><br></p><p><br></p><p><strong>Equal Opportunity Statement</strong></p><p><br></p><ul><li>While we carefully review all applications, only candidates who meet the specified requirements will be contacted for further consideration, We appreciate your understanding and thank you for your interest.</li></ul><p><br></p>

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third-party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking a skilled cloud & DevOps engineer to manage and enhance a cloud platform, leveraging strong expertise in Google Cloud Platform (GCP), Kubernetes, Terraform, Linux, Vault, CI/CD pipelines, and monitoring tools. The role focuses on designing, automating, securing, and operating scalable infrastructure to support development and production environments, enabling teams to deliver reliable and efficient solutions.</p> <h4>What you’ll do</h4> <ul> <li>Manage, maintain, and optimise cloud infrastructure on GCP</li> <li>Design, deploy, and support Kubernetes clusters and containerised applications</li> <li>Build and enhance infrastructure as code using Terraform</li> <li>Develop, maintain, and optimise CI/CD pipelines for application and infrastructure delivery</li> <li>Administer and support Linux-based systems across cloud environments</li> <li>Implement secure secrets management and access controls using Vault</li> <li>Build and improve monitoring, logging, alerting, and observability solutions</li> <li>Provide operational support across development, staging, and production environments</li> <li>Troubleshoot infrastructure, deployment, networking, and platform issues</li> <li>Collaborate with engineering, security, and operations teams to enhance automation, security, and reliability</li> <li>Implement cloud security best practices, IAM controls, backup strategies, and disaster recovery plans</li> <li>Participate in incident response, root cause analysis, and service improvement initiatives</li> <li>Maintain documentation, operational runbooks, and platform standards</li> <li>Support knowledge sharing and promote DevOps and platform engineering practices</li> </ul> <h4>Who you are</h4> <ul> <li>3-6 years of experience</li> <li>Experienced in Google Cloud Platform (GCP) with hands-on delivery experience</li> <li>Proficient in managing Kubernetes platforms in production environments</li> <li>Skilled in Terraform and infrastructure as code practices</li> <li>Strong background in Linux administration and troubleshooting</li> <li>Familiar with Vault or similar secrets management platforms</li> <li>Experienced in building and maintaining CI/CD pipelines</li> <li>Knowledgeable in monitoring and observability tools such as Prometheus, Grafana, ELK, or similar</li> <li>Comfortable supporting both development and production environments</li> <li>Strong understanding of networking, system reliability, and cloud security</li> <li>Able to script and automate using Bash, Python, or similar</li> <li>Capable of troubleshooting, incident handling, and problem resolution</li> <li>Familiarity with GitOps tools, Helm, SRE practices, and access/policy management is advantageous</li> <li>Relevant certifications in GCP, Kubernetes, Terraform, or Vault are desirable</li> </ul> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <ul> <li>Opportunity to work on large-scale, modern cloud infrastructure</li> <li>Exposure to advanced DevOps, automation, and cloud-native technologies</li> <li>Collaborative environment focused on innovation and continuous improvement</li> <li>Opportunities to develop expertise in platform engineering and cloud security</li> <li>A supportive culture that encourages learning and knowledge sharing</li> </ul> <h4>What skills you will learn</h4> <ul> <li>Advanced cloud platform architecture and optimisation on GCP</li> <li>Kubernetes platform design and container orchestration at scale</li> <li>Infrastructure as code and automation best practices</li> <li>Monitoring, observability, and performance optimisation techniques</li> <li>DevOps collaboration, incident management, and service reliability practices</li> </ul> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Flairstech is looking for a Senior Database Administrator to join our engineering team, reporting to the CTO. You'll own how we design, operate, and govern data at the database layer — schema and migration standards, performance tuning and capacity planning, backup and disaster-recovery discipline, and access security — across our production MySQL and PostgreSQL databases, partnering closely with engineering and DevSecOps rather than working in isolation.</p><br><p>This role also plays an integral part in a major new initiative: a procurement and catalog platform built around a canonical product/supplier-offering data model, master data governance, and an event-driven architecture, much of it extending our existing PostgreSQL environment (including the pgvector extension for semantic search and relationship modeling for a knowledge graph). You'll help design and scale the data model underneath that platform alongside a small, senior engineering team, and set the standards the rest of the organization builds on as our database needs continue to grow.</p><br><p><span><strong>What You'll Do</strong></span></p><br><p><span><strong>Database Design &amp; Standards</strong></span></p><br><ul><li>Establish schema design standards, migration conventions, and a review process for database changes across MySQL and PostgreSQL services — work currently done ad hoc by the engineers building each feature.</li><li>Review and advise on schema changes proposed by application engineers (procure, core-api, job-workers), with a focus on indexing strategy, normalization tradeoffs, and query performance.</li><li>Document data modeling conventions and migration practices so the standards outlive any one person's institutional knowledge.</li></ul><p><span><strong>Performance, Reliability &amp; Operations</strong></span></p><br><ul><li>Own query performance tuning and capacity planning across production databases, monitoring for slow queries, lock contention, and connection saturation before they become incidents.</li><li>Partner with DevSecOps to define and test backup, restore, and disaster-recovery procedures — verifying, not just configuring, Multi-AZ failover and the existing 30-day backup retention.</li><li>Build database health monitoring and alerting so degradation is caught proactively rather than discovered during troubleshooting.</li></ul><p><span><strong>Lifecycle, Governance &amp; Security</strong></span></p><br><ul><li>Own database version lifecycle management: planning and executing engine upgrades ahead of end-of-support, and decommissioning legacy or duplicate instances once migrations are confirmed complete.</li><li>Partner with DevSecOps to bring database versions under Infrastructure-as-Code management and to close network exposure and access-control findings as they're identified.</li><li>Manage database access control and credential hygiene — least-privilege roles, credential rotation, and audit logging of privileged access.</li></ul><p><span><strong>Data Platform &amp; Analytics</strong></span></p><br><ul><li>Provide database and data-modeling expertise for our Snowflake/dbt analytics environment, helping extend the same version and access governance there.</li><li>Support engineering and product teams with data modeling guidance for features with analytics or reporting requirements.</li><li>Act as the team's go-to resource for database questions, mentoring engineers on schema design and query performance as part of code review.</li></ul><p><span><strong>Catalog &amp; Search Platform Initiative</strong></span></p><br><ul><li>Serve as the database lead for a new procurement and catalog platform — a canonical product/supplier-offering data model with master data governance, versioned catalog history, and multi-tenant customer-specific views — extending our existing PostgreSQL environment rather than standing up new database infrastructure.</li><li>Design and tune the PostgreSQL schema underneath the catalog domain, including catalog versioning and audit history, an ID crosswalk to legacy transactional records, and relationship tables supporting a knowledge graph.</li><li>Support the platform's pgvector-based semantic search and its event-driven architecture — schema-versioned events, idempotent processing, and the replay strategy that lets catalog and search state be rebuilt from history.</li><li>Advise on performance and isolation for multi-tenant customer catalogs, including row-level tenant isolation and materialized views for high-volume accounts.</li><li>Extend our Snowflake/dbt warehouse to support the platform's analytics and data-quality KPIs, such as match confidence, pricing/inventory freshness, and catalog completeness.</li></ul><p><span><strong>What We're Looking For</strong></span></p><br><p><span><strong>Required</strong></span></p><br><ul><li>7+ years of hands-on database administration experience in production environments, including at least one relational engine at meaningful scale (MySQL and/or PostgreSQL).</li><li>Demonstrated ownership of query performance tuning, indexing strategy, and query optimization in a live production system.</li><li>Experience planning and executing major database engine upgrades and migrations (e.g., blue/green or similar cutover strategies) with minimal downtime.</li><li>Strong understanding of backup/restore, high-availability, and disaster-recovery patterns (Multi-AZ, automated backups, failover testing) in a cloud environment (AWS RDS or equivalent).</li><li>Comfort working with event-driven, eventually-consistent data architectures — schema versioning, idempotent processing, and rebuild-from-event-history patterns — not just traditional transactional systems.</li><li>Experience establishing schema design standards, review processes, or data modeling conventions for an engineering team without a dedicated DBA function.</li><li>Comfort partnering with application engineers and DevSecOps rather than working in isolation — this role is as much about building a practice as running one.</li><li>Practical database security fundamentals: least-privilege access, credential rotation, and encryption at rest and in transit.</li><li>Proficiency in SQL and at least one scripting/automation language (Python or Bash) for tooling and monitoring.</li></ul><p><span><strong>Nice to Have</strong></span></p><br><ul><li>Experience with cloud data warehouses and transformation tooling (e.g., Snowflake, dbt).</li><li>Experience with Infrastructure-as-Code (Terraform) for managing database resources.</li><li>Experience with PostgreSQL extensions such as pgvector, or modeling graph-like relationships in a relational database.</li><li>Experience supporting master data management, entity resolution, or record-matching systems.</li><li>Experience operating in a SOC 2 or similarly compliance-driven environment.</li></ul><p>Experience&nbsp;</p><br> </div>

<p>About the Role We are looking for a Senior AI Engineer to design, build, and operate production-grade Generative AI solutions on the Microsoft Azure AI ecosystem. You will be the technical anchor for our GenAI initiatives, owning the end-to-end lifecycle: from foundation model selection and prompt/RAG architecture through deployment, MLOps, security hardening, and continuous evaluation. This is a hands-on senior role. You will set technical direction, mentor engineers, and work directly with product, data, security, and platform teams to move AI use cases from prototype to reliable, governed, cost-efficient services.</p><p>What You Will do</p><p>GenAI solution design and delivery</p><ul><li>Architect and build LLM-powered applications (RAG, agents, copilots, document intelligence, content understanding, conversational systems) using Azure AI Foundry, Azure OpenAI, and the broader Azure AI and data portfolio .</li><li>Design retrieval pipelines with Azure AI Search (vector, hybrid, and semantic ranking), including chunking, embedding, indexing, and relevance tuning strategies.</li><li>Evaluate, fine-tune, and deploy foundation and open-source models (e.g., GPT, Phi, Llama, Mistral, Kimi, GLM) through Azure AI Foundry model catalog and Azure Machine Learning.</li><li>Implement prompt engineering, orchestration frameworks (Semantic Kernel, LangChain, Prompt Flow, or equivalent), and structured evaluation of model quality, groundedness, and safety.</li></ul><p>Platform, MLOps, and productionization</p><ul><li>Build and maintain MLOps/LLMOps pipelines on Azure ML, Github Enterprise: experiment tracking, model registry, CI/CD for models and prompts, automated evaluation, monitoring, and drift/cost management.</li><li>Expose AI capabilities as scalable microservices (Azure Kubernetes Service, Azure Container Apps, Azure Functions, API Management), with attention to latency, throughput, resilience, and cost.</li><li>Establish observability for AI systems: tracing, token/cost telemetry, quality metrics, and feedback loops.</li></ul><p>AI security and governance</p><ul><li>Apply Responsible AI and AI security practices: content safety filters, prompt-injection and jailbreak mitigation, data-leakage controls, PII handling, and red-teaming.</li><li>Implement secure architectures using Azure identity (Entra ID, managed identities), private endpoints, Key Vault, network isolation, and data residency controls.</li><li>Contribute to AI governance standards, model risk documentation, and compliance requirements.</li></ul><p>Technical leadership</p><ul><li>Define reference architectures, coding standards, and reusable components for GenAI workloads.</li><li>Mentor and review the work of other engineers; lead design discussions and technical decision-making.</li><li>Partner with stakeholders to translate business problems into feasible, measurable AI solutions and communicate trade-offs clearly.</li><li>Stay current with the rapidly evolving model and tooling landscape and bring practical recommendations to the team.</li></ul><p><strong>Desired Candidate Profile</strong></p><h2>Required Qualifications</h2><ul><li>8 10+ years of overall experience in AI, machine learning, and data engineering, with a strong track record of delivering production systems.</li><li>Minimum 2 3 years of hands-on experience with Azure AI Foundry (formerly Azure AI Studio) and Azure OpenAI Service, including deploying and operating GenAI applications in production.</li><li>Deep expertise across the Azure AI ecosystem: Azure Machine Learning, Azure AI Search, Azure AI Services (Document Intelligence, Language, Speech, Vision), Fabric and Azure AI Content Safety.</li><li>Strong understanding of LLMs and foundation models: architectures, tokenization, context management, embeddings, fine-tuning (LoRA/PEFT), quantization, and evaluation methods.</li><li>Practical experience with open-source models and frameworks (Hugging Face, Llama, Mistral, Phi, vLLM/ONNX Runtime or similar serving stacks).</li><li>Proven MLOps/LLMOps experience: CI/CD, model versioning, automated testing and evaluation, monitoring, and rollback strategies.</li><li>Experience designing and building microservices and APIs (containers, Kubernetes, REST/gRPC, event-driven patterns) with Azure DevOps or GitHub Actions.</li><li>Demonstrated knowledge of AI security and Responsible AI: threat modeling for LLM applications (OWASP Top 10 for LLMs), data protection, access control, and safety guardrails.</li><li>Working experience with at least one other cloud provider (AWS or GCP) and their AI/ML services (e.g., Amazon Bedrock, SageMaker, Vertex AI).</li><li>Expert-level Python; solid software engineering fundamentals (testing, code review, design patterns, performance optimization).</li><li>Strong data foundations: SQL, data pipelines, data modeling, and familiarity with Azure data services (Data Factory, Databricks, Synapse, Fabric, Cosmos DB, or equivalent).</li><li>Excellent communication skills with the ability to explain complex AI concepts to technical and non-technical audiences.</li></ul><h2>Preferred Qualifications</h2><ul><li>Microsoft certifications: AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or AZ-305.</li><li>Experience with agentic AI patterns, multi-agent orchestration, and tool/function calling (Azure AI Agent Service, Semantic Kernel agents, AutoGen, or similar).</li><li>Experience with vector databases beyond Azure AI Search (e.g., Cosmos DB vector search, PostgreSQL pgvector, Pinecone, Weaviate).</li><li>Background in NLP, computer vision, or speech systems prior to the GenAI era.</li><li>Experience with model evaluation and observability tooling (Azure AI evaluation SDK, Prompt Flow evaluations, Langfuse, MLflow, Weights &amp; Biases).</li><li>Familiarity with regulatory and compliance frameworks relevant to AI (GDPR, ISO/IEC 42001, NIST AI RMF, EU AI Act, or regional data protection regulations).</li><li>Experience operating in regulated industries (financial services, healthcare, government) or large-enterprise environments.</li><li>Contributions to open-source projects, publications, or technical community engagement</li></ul><h2>Key Competencies</h2><ul><li>Ownership and delivery focus in ambiguous, fast-moving environments</li><li>Systems thinking: balancing model quality, latency, cost, security, and maintainability</li><li>Pragmatism about when GenAI is (and is not) the right tool</li><li>Mentorship and collaborative technical leadership</li></ul>

<p>Siemens Digital Industries Software is a global leader in Electronic Design Automation (EDA) software, hardware, and design solutions. We partner with the world s leading producers of semiconductor microelectronic circuits and systems, enabling them to design and produce cutting-edge electronic products faster and more efficiently. At Siemens Digital Industries Software , we are driving innovation in automation and digitalization. Through close collaboration with our partners and customers, we enable the digital transformation of both process and discrete industries. Our Digital Enterprise portfolio provides companies of all sizes with an end-to-end suite of products, solutions, and services that support the integration and digitalization of the entire value chain. Tailored to the unique needs of each industry, our portfolio helps customers achieve greater efficiency, flexibility, and innovation through the integration of groundbreaking future technologies. Headquartered in Nuremberg, Germany, Siemens Digital Industries Software employs around 75,000 people worldwide. We offer an environment built on responsibility, independence, and proactive contribution, while fostering a collaborative culture that supports both teamwork and individual growth.</p><p>We're looking for an Associate Data Services Consultant to join our team in Cairo, Egypt. As part of the Data Services Team at Siemens Asset Management Software, you will support the delivery of high-quality data migration and integration solutions. You will use tools and platforms developed by the Data Services Engineering team to manage data transformation activities, handle requests from project managers and consultants, and operate ETL utilities and application tools to support client implementations. This role offers a clear growth path into customer-facing technical consulting positions or the ETL Engineering team at a junior or mid-level level. It is ideal for early-career professionals with strong technical skills who are looking to grow within a professional services environment.</p><p>Responsibilities:</p><ul><li>Data Transformation &amp; Integration: Execute data migration and transformation using ETL platforms such as Alteryx and in-application import/export tools.</li><li>Ticket Management: Partner with project managers and consultants to address data needs and resolve technical tickets promptly.</li><li>Tool Operation &amp; Support: Operate and maintain ETL platforms and application tools to meet project requirements.</li><li>Customer Implementation Support: Support customer-facing teams with data and technical needs during software implementation and new customer onboarding.</li><li>Process Documentation: Maintain clear documentation of workflows, troubleshooting guides, and operational processes.</li><li>Continuous Learning: Build expertise in data engineering and software development tools to support career growth and team flexibility.</li></ul><p>Why Us?</p><p>At Siemens Software, flexibility is how we work hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!</p><p>Our Benefits &amp; Rewards</p><p>The salary range for this position is $17,700 to $35,400 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/</p><p>Our Commitment to Equity and Inclusion in our Diverse Global Workforce</p><p>We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the every day with us. Siemens Software. Transform the Every day. #LI-Hybrid</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.</li><li>Relevant technical experience, preferably in professional services, consulting, or data engineering.</li><li>Proficiency in SQL and familiarity with Microsoft SQL Server and scripting languages such as Python.</li><li>Strong analytical, problem-solving, communication, and teamwork skills, with the ability to work with both technical and non-technical stakeholders.</li><li>Good understanding of business and technical workflows; experience with process mapping and improvement is a plus.</li><li>Preferably has experience managing ticketing systems, backlogs, and timely issue resolution.</li><li>Experience developing knowledge management systems, templates, or reporting metrics is a plus.</li><li>Familiarity with data migration tools such as Alteryx and dbt is preferred.</li><li>Strong attention to detail, process-oriented thinking, and the ability to translate complex concepts into clear, actionable information.</li><li>Experience with data migration or ETL tools, particularly Alteryx, is a plus.</li><li>Understanding of professional services workflows, especially data migration and integration, is preferred.</li><li>Familiarity with software engineering principles and best practices is a plus.</li><li>Ability to collaborate effectively with both technical and non-technical teams is preferred.</li></ul>

<p><strong>Responsibilities:</strong></p><ul><li><p><strong>Designing and deploying</strong> scalable, multi-tenant cloud (AWS or Azure) and hybrid/on-premises architectures tailored to diverse client needs, including specialized infrastructure for AI and machine learning workloads.</p></li><li><p><strong>Understanding business requirements</strong>, evaluating architectural trade-offs, and translating them into cost-effective, production-ready technical solutions.</p></li><li><p><strong>Developing declarative scripts and modules</strong> for automating infrastructure provisioning, configuration management, and environment replication.</p></li><li><p><strong>Designing, implementing, and optimizing GitOps-driven</strong> CI/CD pipelines to achieve automated, self-healing software delivery cycles for both application code and AI assets (models, prompts, and evaluation datasets).</p></li><li><p><strong>Building and maintaining comprehensive observability</strong> (monitoring, logging, and tracing) systems to ensure proactive anomaly detection, including tracking LLM performance metrics (latency, token usage, and drift).</p></li><li><p><strong>Ensuring system security and protection</strong> by integrating security guardrails (SAST/DAST, container scanning, prompt injection defense, and data anonymization) directly into the delivery pipeline (DevSecOps).</p></li><li><p><strong>Designing and implementing robust disaster recovery (DR)</strong>, failover procedures, and high-availability strategies across multi-region setups.</p></li><li><p><strong>Automating the deployment of system updates</strong>, patches, and zero-downtime microservices and AI model endpoint releases.</p></li><li><p><strong>Adhering to corporate security, data privacy (GDPR/HIPAA/SOC2)</strong>, and industry-standard regulatory rules and compliance practices, with specific guardrails for AI data handling and model usage.</p></li><li><p><strong>Providing technical leadership, architectural guidance</strong>, and mentorship to developers, data scientists, system engineers, and cross-functional client teams.</p></li><li><p><strong>Supporting team infrastructure</strong>, unblocking development workflows, and rapidly resolving complex configuration, network, and automation issues across multi-cloud environments.</p></li><li><p><strong>Ensuring high availability, scalability, elasticity</strong>, and maximum resilience against infrastructure and service component failures.</p></li><li><p><strong>Staying up-to-date on the latest cloud-native technologies</strong>, CNCF ecosystem projects, FinOps (specifically managing unpredictable cloud AI/GPU spend), and industry best practices to drive continuous innovation.</p></li></ul><p><strong>What We Offer:</strong></p><ul><li><p>Long-term career stability with a competitive salary paid in USD.</p></li><li><p>Conditions for steady career development.</p></li><li><p>Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.</p></li><li><p>Private medical insurance provided after successful completion of the probationary period</p></li><li><p>A well-equipped and cozy office supports comfort and productivity across all project stages.</p></li><li><p>Welcoming atmosphere and a friendly corporate culture.</p></li></ul><p></p><p><strong>Requirements</strong></p><p><strong>What we expect from you:</strong></p><ul><li><p><strong>Practical administration experience</strong> with Linux/UNIX and Windows systems (mandatory, at least 3+ years in a senior or lead capacity).</p></li><li><p><strong>Strong understanding of modern web architectures</strong>, microservices, distributed systems, and networking protocols.</p></li><li><p><strong>Practical experience in DevOps/Platform Engineering roles</strong> involving end-to-end infrastructure development and client-facing delivery (mandatory, at least 3+ years).</p></li><li><p><strong>Practical database administration and optimization experience</strong> with relational, non-relational (NoSQL), and vector databases (e.g., Pinecone, Milvus, Qdrant, or pgvector) used in AI applications.</p></li><li><p><strong>Deep understanding and production experience</strong> with Infrastructure as Code (IaC) principles, focusing on modularity, reusability, and state management.</p></li><li><p><strong>Automation experience</strong> with enterprise configuration management tools like Ansible, or modern alternatives/code-driven IaC (e.g., Pulumi).</p></li><li><p><strong>Experience in designing, deploying, and managing environments</strong> in AWS or Azure using advanced, automated GitOps/IaC workflows (Terraform, OpenTofu, CloudFormation, or Bicep/ARM).</p></li><li><p><strong>Practical skills in automating</strong> code compilation, artifact management, and continuous deployment using GitHub Actions, GitLab CI, Jenkins, or cloud-native tooling (ArgoCD, Flux).</p></li><li><p><strong>Experience implementing automated code testing and compliance shifts</strong> in the CI process, extending to continuous evaluation pipelines for LLM-backed applications (using frameworks like Ragas or Langfuse).</p></li><li><p><strong>Proficiency in containerization and cloud-native orchestration</strong> using Docker, Kubernetes (EKS/AKS), Helm, and ingress management.</p></li><li><p><strong>Experience deploying, scaling, and managing service meshes</strong>, microservices releases, and containerized AI model deployment frameworks (e.g., vLLM, Triton Inference Server, Hugging Face TGI).</p></li><li><p><strong>Experience with enterprise artifact repository managers</strong> (JFrog Artifactory, Nexus, or cloud-native container registries).</p></li><li><p><strong>Advanced scripting and programming skills</strong> in Python (essential for AI ecosystems), Bash, Go, or PowerShell for building custom automation tools.</p></li><li><p><strong>Expert knowledge of Git</strong>, including advanced branching strategies (GitFlow, Trunk-Based Development), repository management, and managing version control for application code, configuration, and prompt templates.</p></li><li><p><strong>Proven experience implementing DevSecOps</strong>, secrets management (HashiCorp Vault, AWS Secrets Manager), and identity access management (IAM).</p></li><li><p><strong>Experience implementing cloud financial management (FinOps)</strong>, with a strong focus on tracking and optimizing high-cost AI infrastructure and API token spending.</p></li><li><p><strong>Great communication and consultancy skills</strong>, with the ability to articulate technical concepts clearly to both technical teams and non-technical client stakeholders.</p></li></ul><p><strong>Will be a plus:</strong></p><ul><li><p><strong>Deep knowledge of Linux/Windows OS internals</strong>, low-level troubleshooting, kernel tuning, and advanced performance diagnostics.</p></li><li><p><strong>Deep knowledge of Enterprise Networking</strong> (VPC peering, SD-WAN, VPNs) and Cloud Security Architecture (Zero Trust models, WAF, DDoS mitigation).</p></li><li><p><strong>Experience in the end-to-end design, business justification</strong>, documentation, and implementation of complex, large-scale enterprise architectural solutions.</p></li><li><p><strong>Hands-on experience building or operating Retrieval-Augmented Generation (RAG) pipelines</strong> and managing LLM-backed agent orchestration frameworks (e.g., LangChain, AutoGen).</p></li><li><p><strong>Active professional-level certifications</strong> (e.g., AWS Certified Solutions Architect Professional, Azure Solutions Architect Expert, CKA/CKAD, or cloud AI/Machine Learning specializations).</p></li></ul><p></p>

<div> <div> <b>Who we are</b> </div> <div> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation. <br>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. <br>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. <br>#VOIS #BeUnrivalled #CreateTheFuture</p> </div> </div> <div> <div> <b>About this Role</b> </div> <div> <div>We are seeking a Senior DevOps Engineer to support global IT integration, platform operations, and cloud deployment activities. The role focuses on building, maintaining, and enhancing production-ready platforms that host applications across multiple Vodafone markets, with a strong emphasis on Kubernetes, containerisation, cloud technologies, service reliability, and application lifecycle management. The successful candidate will contribute to secure, scalable, and reliable solutions while supporting operational excellence and continuous improvement initiatives</div> </div> </div> <div> <div> <b>What you ll do</b> </div> <div> <div>Design, implement, and support DevOps and deployment solutions across global environments.</div> <div>Lead migration, upgrade, and release activities for supported platforms and applications</div> <div>Administer and optimise Kubernetes, Docker, and API management environments. </div> <div>Maintain application and server availability across UNIX/Linux and Windows platforms. </div> <div>Monitor, troubleshoot, and resolve incidents and service requests within agreed service levels. </div> <div>Investigate and resolve database-related issues across supported environments. </div> <div>Collaborate with vendors and internal stakeholders to deliver sustainable technical solutions</div> <div>Maintain technical documentation, knowledge repositories, and operational procedures. </div> <div>Contribute to process improvements, automation initiatives, and operational efficiencies.</div> <div>Support service management practices and ensure compliance with operational processes and standards. </div> </div> </div> <div> <div> <b>Who you are</b> </div> <div> <div>Experience with Kubernetes and container orchestration technologies. </div> <div>Strong knowledge of Docker and microservices architecture.</div> <div>Familiarity with Kafka and distributed application environments. </div> <div>Experience with databases such as PostgreSQL, DynamoDB, and Cassandra. </div> <div>Knowledge of Python, Ruby, or Go programming languages is highly desirable. </div> <div>Understanding of AWS cloud services is advantageous.</div> <div>Strong UNIX/Linux administration skills.</div> <div>Knowledge of infrastructure technologies including DNS and proxy services.</div> <div>Troubleshooting, problem-solving, and service management capabilities.</div> <div>Experience with ITIL practices, Remedy, or related service management platforms is beneficial. </div> <div>Ability to manage multiple priorities while maintaining high-quality delivery standards.</div> </div> </div> <div> <div> <b>Not a perfect fit?</b> </div> <div> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> </div> </div> <div> <div> <b>What's in it for you</b> </div> <div> <div>Opportunity to work on global-scale platforms supporting multiple Vodafone markets. </div> <div>Exposure to modern cloud-native technologies, container platforms, and large-scale DevOps practices.</div> <div>Involvement in platform transformation, automation, and continuous improvement initiatives. </div> <div>Collaboration with global teams, vendors, and technology specialists.</div> <div>Opportunity to contribute to innovative solutions that improve operational efficiency and customer experience. </div> </div> </div> <div> <div> <b>What skills you will learn</b> </div> <div> <div>Advanced Kubernetes platform engineering and administration.</div> <div>Cloud-native application deployment and lifecycle management.</div> <div>DevOps automation, release management, and service reliability practices</div> <div>Large-scale incident management and operational excellence methodologies.</div> <div>Stakeholder management, knowledge management, and continuous improvement techniques.</div> </div> </div> <div> <div> <b>VOIS Equal Opportunity Employer Commitment</b> </div> <div> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background. </p> </div> </div> <div> <div> <b>Join Us</b> </div> <div> <p>At Vodafone, we re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. <br>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. <br>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> </div> </div> <div> <div> <b>Alert </b> </div> <div> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. <br><br></p></div></div><div><div> </div> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Who we are</b> <br></span><p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation. <br>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. <br>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. <br>#VOIS #BeUnrivalled #CreateTheFuture</p><br><br><br><b>About this Role</b> <br>We are seeking a Senior DevOps Engineer to support global IT integration, platform operations, and cloud deployment activities. The role focuses on building, maintaining, and enhancing production-ready platforms that host applications across multiple Vodafone markets, with a strong emphasis on Kubernetes, containerisation, cloud technologies, service reliability, and application lifecycle management. The successful candidate will contribute to secure, scalable, and reliable solutions while supporting operational excellence and continuous improvement initiatives<br><br><br><b>What you’ll do</b> <br>Design, implement, and support DevOps and deployment solutions across global environments.<br> Lead migration, upgrade, and release activities for supported platforms and applications<br> Administer and optimise Kubernetes, Docker, and API management environments.&nbsp;<br> Maintain application and server availability across UNIX/Linux and Windows platforms.&nbsp;<br> Monitor, troubleshoot, and resolve incidents and service requests within agreed service levels.&nbsp;<br> Investigate and resolve database-related issues across supported environments.&nbsp;<br> Collaborate with vendors and internal stakeholders to deliver sustainable technical solutions<br> Maintain technical documentation, knowledge repositories, and operational procedures.&nbsp;<br> Contribute to process improvements, automation initiatives, and operational efficiencies.<br> Support service management practices and ensure compliance with operational processes and standards.&nbsp;<br><br><br><b>Who you are</b> <br>Experience with Kubernetes and container orchestration technologies.&nbsp;<br> Strong knowledge of Docker and microservices architecture.<br> Familiarity with Kafka and distributed application environments.&nbsp;<br> Experience with databases such as PostgreSQL, DynamoDB, and Cassandra.&nbsp;<br> Knowledge of Python, Ruby, or Go programming languages is highly desirable.&nbsp;<br> Understanding of AWS cloud services is advantageous.<br> Strong UNIX/Linux administration skills.<br> Knowledge of infrastructure technologies including DNS and proxy services.<br> Troubleshooting, problem-solving, and service management capabilities.<br> Experience with ITIL practices, Remedy, or related service management platforms is beneficial.&nbsp;<br> Ability to manage multiple priorities while maintaining high-quality delivery standards.<br><br><br><b>Not a perfect fit?</b> <br><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p><br><br><br><b>What's in it for you</b> <br>Opportunity to work on global-scale platforms supporting multiple Vodafone markets.&nbsp;<br> Exposure to modern cloud-native technologies, container platforms, and large-scale DevOps practices.<br> Involvement in platform transformation, automation, and continuous improvement initiatives.&nbsp;<br> Collaboration with global teams, vendors, and technology specialists.<br> Opportunity to contribute to innovative solutions that improve operational efficiency and customer experience.&nbsp;<br><br><br><b>What skills you will learn</b> <br>Advanced Kubernetes platform engineering and administration.<br> Cloud-native application deployment and lifecycle management.<br> DevOps automation, release management, and service reliability practices<br> Large-scale incident management and operational excellence methodologies.<br> Stakeholder management, knowledge management, and continuous improvement techniques.<br><br><br><b>VOIS Equal Opportunity Employer Commitment</b> <br><p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.&nbsp;</p><br><br><br><b>Join Us</b> <br><p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. <br>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. <br>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p><br><br><br><b>Alert </b> <br><p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. <br>#JDEnhancedByTARA</p><br><br><br><b>Follow us on social media</b> <br>LinkedIn: https://www.linkedin.com/company/vois/<br> Facebook:&nbsp;https://www.facebook.com/voisglobal<br> Instagram:&nbsp;https://www.instagram.com/voisglobal/<br> You can also chat with our employees to learn more about our projects:&nbsp;https://lnkd.in/dpkrcvR2<br><br><br><br> </div>

<p><h4>Who we are</h4> <p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through talent, technology & transformation.</p> <p>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and third party capability.</p> <p>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.</p> <h4>About this role</h4> <p>We are seeking a senior DevOps engineer to support global IT integration, platform operations, and cloud deployment activities. The role focuses on building, maintaining, and enhancing production-ready platforms that host applications across multiple Vodafone markets, with a strong emphasis on Kubernetes, containerisation, cloud technologies, service reliability, and application lifecycle management. The successful candidate will contribute to secure, scalable, and reliable solutions while supporting operational excellence and continuous improvement initiatives.</p> <h4>What you’ll do</h4> <li>Design, implement, and support DevOps and deployment solutions across global environments.</li> <li>Lead migration, upgrade, and release activities for supported platforms and applications.</li> <li>Administer and optimise Kubernetes, Docker, and API management environments.</li> <li>Maintain application and server availability across UNIX/Linux and Windows platforms.</li> <li>Monitor, troubleshoot, and resolve incidents and service requests within agreed service levels.</li> <li>Investigate and resolve database-related issues across supported environments.</li> <li>Collaborate with vendors and internal stakeholders to deliver sustainable technical solutions.</li> <li>Maintain technical documentation, knowledge repositories, and operational procedures.</li> <li>Contribute to process improvements, automation initiatives, and operational efficiencies.</li> <li>Support service management practices and ensure compliance with operational processes and standards.</li> <h4>Who you are</h4> <li>Experience with Kubernetes and container orchestration technologies.</li> <li>Strong knowledge of Docker and microservices architecture.</li> <li>Familiarity with Kafka and distributed application environments.</li> <li>Experience with databases such as PostgreSQL, DynamoDB, and Cassandra.</li> <li>Knowledge of Python, Ruby, or Go programming languages is highly desirable.</li> <li>Understanding of AWS cloud services is advantageous.</li> <li>Strong UNIX/Linux administration skills.</li> <li>Knowledge of infrastructure technologies including DNS and proxy services.</li> <li>Troubleshooting, problem-solving, and service management capabilities.</li> <li>Experience with ITIL practices, Remedy, or related service management platforms is beneficial.</li> <li>Ability to manage multiple priorities while maintaining high-quality delivery standards.</li> <h4>Not a perfect fit?</h4> <p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p> <h4>What's in it for you</h4> <li>Opportunity to work on global-scale platforms supporting multiple Vodafone markets.</li> <li>Exposure to modern cloud-native technologies, container platforms, and large-scale DevOps practices.</li> <li>Involvement in platform transformation, automation, and continuous improvement initiatives.</li> <li>Collaboration with global teams, vendors, and technology specialists.</li> <li>Opportunity to contribute to innovative solutions that improve operational efficiency and customer experience.</li> <h4>What skills you will learn</h4> <li>Advanced Kubernetes platform engineering and administration.</li> <li>Cloud-native application deployment and lifecycle management.</li> <li>DevOps automation, release management, and service reliability practices.</li> <li>Large-scale incident management and operational excellence methodologies.</li> <li>Stakeholder management, knowledge management, and continuous improvement techniques.</li> <h4>VOIS equal opportunity employer commitment</h4> <p>Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p> <h4>Join us</h4> <p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.</p> <p>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.</p> <p>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p> <h4>Alert</h4> <p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.</p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics to deliver better products in the increasingly complex world of chip, board, and system design. Position Overview We are seeking a Sr. Staff Pre-Silicon Validation/Verification Lead to drive the system-level validation of interconnect solutions (PCIe, CXL, NVMe, and UCIe) for emulation and FPGA prototyping platforms. This role focuses on defining and executing robust verification and validation strategies to ensure high-quality delivery across both the protocol and system levels. The ideal candidate will combine strong hands-on technical expertise with proven leadership capabilities. Key Responsibilities: Lead and drive testing and verification activities for high-speed interconnect protocols and solutions (PCIe, CXL, NVMe, and UCIe). Architect and drive end-to-end pre-silicon verification strategies across simulation, hardware-assisted emulation, and FPGA prototyping. Build and scale verification environments by integrating SystemC/UVM transactors, RTL monitors, BFMs, and full software stacks (bare-metal software, operating system drivers, and software layers) to enable HW/SW co-verification. Drive system-level validation of performance, interoperability, and scalability, including the analysis of latency, bandwidth, coherency behavior, and system bottlenecks. Own and continuously evolve the regression strategy, including test selection, coverage tracking, and failure triage, to ensure high-quality release qualification. Design and maintain scalable CI/CD pipelines and validation infrastructure to support continuous testing and efficient execution at scale. Ensure QA readiness through structured validation workflows, coverage closure, and alignment with customer use cases and release criteria. Lead deep-dive debugging and root-cause analysis of complex protocol failures, RTL issues, and system bring-up in emulation environments. Collaborate with cross-functional teams (R&amp;D, Product Management, Product Engineering, and Application Engineering) to ensure feature readiness, technical alignment, and the timely resolution of system bottlenecks. Mentor and guide engineers, conduct design and test plan reviews, and ensure high-quality verification sign-off. Required Skills &amp; Qualifications: Bachelor's or Master's degree in Electronics and Communications Engineering, Computer Engineering, or a related field. 8+ years of industry experience in system-level testing and verification. Solid understanding of and hands-on experience with interconnect protocols such as PCIe, CXL, NVMe, AXI, and UCIe. Hands-on experience with hardware-assisted verification platforms (e.g., Veloce, Palladium, ZeBu) or FPGA prototyping systems. Strong expertise in verification methodologies using SystemVerilog, SystemC, and HW/SW co-verification techniques. Proficiency in C/C++, with experience in bare-metal testing and validation against Linux drivers, firmware, or hypervisors. Solid understanding of CPU architectures, memory hierarchies, and system-level concepts such as IOMMU, cache coherency, and virtualization. Strong debugging skills across RTL, protocol, and system-level issues, including transaction-level analysis and HW/SW interactions. Experience building scalable validation infrastructure, including CI/CD pipelines, regression management, and test automation using Python, Bash, or similar scripting languages. Proven ability to define verification strategies, drive execution, and lead cross-functional technical initiatives. Leadership &amp; Soft Skills: Strong leadership and ownership, with the ability to drive execution and build high-performing teams. Excellent communication and influencing skills, with the ability to collaborate effectively across cross-functional stakeholders. Strong problem-solving and prioritization skills, with the ability to manage complex requirements and perform effectively in ambiguous environments. Why Join Us? We are Siemens: At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow! Compensation &amp; Benefits The salary range for this position is USD 44,000 to USD 96,700 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/ Our Commitment to Diversity &amp; Inclusion We value equal opportunities and welcome applications from people with disabilities. At Siemens, we believe people who've had real experiences dealing with being different will excel as leaders. Let's foster a culture of creativity and innovation. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Siemens Software. Transform the Everyday #LI-EDA #LI-Hybrid</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><span>Proudly recognized as a Great Place to Work®, we are an AI-native customer experience platform purpose-built for emerging markets. With more than 25 years of conversational AI research and development, we serve over 5,000 enterprises across MENA and are pioneering sovereign, agentic AI through our Agentic Studio platform. As the category takes shape, the way Unifonic is perceived — by buyers, analysts, media, and the broader market — is a strategic asset. This role owns that perception.</span></p><br><p><span>We thrive on creativity, collaboration, and fun, where every idea is welcomed and celebrated. As shareholders in the company, we’re more than just communicators—we’re innovators shaping the future together. We are Unifones. Join us and be part of something extraordinary!</span></p><br><p><strong>Meet the team!</strong></p><br><p>Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic’s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.</p><br><p><span>As an AI Engineering Manager, you will lead the team behind Unifonic's marketing and personalization AI, building the intelligence that determines who to engage, through which channel, at what time, and with what message. You will own the development and delivery of AI capabilities spanning audience segmentation, propensity and churn prediction, next-best-action and channel recommendations, send-time optimization, campaign optimization, and generative AI for personalized content. These systems directly drive conversion, engagement, and customer retention for the brands we serve.</span></p><br><p><span>This is a hands-on leadership role that combines people management with technical ownership. You will lead, mentor, and grow a team of talented AI engineers while actively contributing to architecture, technical design, code reviews, performance optimization, and proof-of-concept development. You will ensure the team delivers scalable, production-grade AI solutions, foster engineering excellence, and cultivate a culture of collaboration, innovation, and continuous learning.</span></p><br><p><strong>Help us shape the future of communications by:</strong></p><br><ul><li><p><span>Serving as the technical owner on AI model design, architecture, and integration for marketing and personalization use cases across the Unifonic product ecosystem.</span></p><br></li></ul><ul><li><p><span>Owning the technical roadmap for personalization AI, recommendation and next-best-action engines, customer segmentation and propensity models, campaign and send-time optimization, and generative AI for content personalization.</span></p><br></li></ul><ul><li><p><span>Leading the evaluation, selection, and implementation of AI/ML frameworks, tools, and best practices, ensuring scalability, robustness, and maintainability.</span></p><br></li></ul><ul><li><p><span>Participating in hands-on coding, solution prototyping, and code reviews to maintain high-quality standards and guide the team through complex technical challenges.</span></p><br></li></ul><ul><li><p><span>Overseeing and refining the AI development lifecycle, including model training, validation, deployment, experimentation (A/B and uplift testing), and ongoing improvement.</span></p><br></li></ul><ul><li><p><span>Leading a team of AI engineers, providing mentorship, regular feedback, and career development support.</span></p><br></li></ul><ul><li><p><span>Defining clear performance expectations, conducting performance reviews, and identifying growth opportunities for team members.</span></p><br></li></ul><ul><li><p><span>Fostering a positive, inclusive, and high-performance team culture that encourages innovation, continuous learning, and collaboration.</span></p><br></li></ul><ul><li><p><span>Collaborating with recruitment and HR to identify, attract, and retain top AI engineering talent, ensuring the team’s ongoing growth and success.</span></p><br></li></ul><ul><li><p><span>Working closely with the Director of AI Development, Product Managers, Designers, Data Scientists, and other Engineering leaders to translate business requirements into technical roadmaps and actionable engineering plans.</span></p><br></li></ul><ul><li><p><span>Ensuring seamless integration of AI capabilities into existing and future products, partnering with platform, infrastructure, and DevOps teams to optimize deployment and operations.</span></p><br></li></ul><ul><li><p><span>Communicating technical topics effectively to non-technical stakeholders, making recommendations and reporting progress, risks, and opportunities.</span></p><br></li></ul><ul><li><p><span>Implementing and continuously improving the development processes, standards, and tools that drive efficiency, reliability, and scalability.</span></p><br></li></ul><ul><li><p><span>Ensuring adherence to best practices in model governance, performance monitoring, and compliance with relevant data privacy and security regulations, including regional data residency requirements.</span></p><br></li></ul><ul><li><p><span>Monitoring engineering metrics and KPIs, leveraging data-driven insights to improve development velocity, code quality, and team efficiency and connecting model performance to marketing outcomes such as conversion, engagement, and retention.</span></p><br></li></ul><br><p><strong>What you will bring:</strong></p><br><ul><li><p>Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.</p><br></li></ul><ul><li><p>8+ years of software development experience with at least 3 years focused on AI/ML engineering and related technologies.</p><br></li></ul><ul><li><p>Demonstrated experience building and shipping marketing or personalization AI in production recommendation systems, customer segmentation, propensity/churn/LTV modeling, real-time decisioning, or campaign optimization with measurable impact on business KPIs.</p><br></li></ul><ul><li><p>Proven track record of leading, mentoring, or managing engineering teams, preferably in high-growth or innovative tech environments.</p><br></li></ul><ul><li><p>Hands-on experience with a range of AI/ML frameworks (e.g., TensorFlow, PyTorch), advanced modeling techniques (NLP, LLMs and generative AI, recommendation and ranking systems), and production-grade model deployments.</p><br></li></ul><ul><li><p>Solid grounding in experimentation and measurement, A/B testing, uplift modeling, and evaluating model impact on conversion, engagement, retention, and ROAS.</p><br></li></ul><ul><li><p>Proficiency in Python, cloud platforms (e.g., OCI, AWS, GCP), CI/CD workflows, and modern software engineering practices.</p><br></li></ul><ul><li><p>Excellent communication and interpersonal skills, with the ability to motivate teams and build productive cross-functional relationships.</p><br></li></ul><ul><li><p>A strategic and solution-oriented mindset, capable of balancing technical depth with big-picture thinking.</p><br></li></ul><ul><li><p>Experience with MarTech ecosystems, customer data platforms (CDPs), campaign orchestration, marketing automation, or CPaaS/omnichannel messaging platforms is preferred </p><br></li></ul><ul><li><p>Experience applying LLMs to marketing use cases, content generation, conversational commerce, or agentic customer journeys including fine-tuning and retrieval-augmented generation (RAG), ideally within the Hugging Face ecosystem (Transformers, PEFT, tokenizers, and the model hub) is preferred </p><br></li></ul><ul><li><p>Exposure to Rust for performance-critical AI services, such as low-latency inference, real-time decisioning, or high-throughput data pipelines is preferred. </p><br></li></ul><ul><li><p>Arabic NLP experience or familiarity with the MENA market is preferred.</p><br></li></ul><ul><li><p>Experience scaling teams and systems in a high-growth SaaS environment is preferred.</p><br></li></ul><p><strong><span><span>Craft &amp; Toolkit:</span></span></strong></p><br><ul><li><p>Machine Learning &amp; Deep Learning</p><br></li><li><p>Generative AI &amp; LLMs</p><br></li><li><p>Recommendation Systems &amp; Personalization</p><br></li><li><p>Customer Segmentation, Propensity &amp; Churn Modeling</p><br></li><li><p>Python</p><br></li><li><p>TensorFlow / PyTorch</p><br></li><li><p>Hugging Face &amp; RAG</p><br></li><li><p>AWS / GCP / OCI</p><br></li><li><p>MLOps &amp; CI/CD</p><br></li><li><p>A/B Testing &amp; Model Evaluation</p><br></li><li><p>Software Architecture &amp; System Design</p><br></li><li><p>AI Engineering Leadership &amp; Team Management</p><br></li></ul><p><strong><span><span>Character Traits:</span></span></strong></p><br><ul><li><p><span>Analytical thinking and problem-solving – approach problems clearly, use data, and find solutions.</span></p><br></li><li><p><span>Ownership and accountability – take responsibility and follow projects through to completion.</span></p><br></li><li><p><span>Communication – explain ideas clearly and listen to others across teams.</span></p><br></li><li><p><span>Collaboration – work well with others and support team goals.</span></p><br></li><li><p><span>Adaptability and learning – adjust to change and keep learning new skills or tools.</span></p><br></li><li><p><span>Mentorship and knowledge sharing – help others grow and share what you know.</span></p><br></li><li><p><span>Resilience – stay calm under pressure and handle setbacks constructively.</span></p><br></li><li><p><span>Quality and attention to detail – do work carefully and strive for improvement.</span></p><br></li><li><p><span>Advocacy and innovation – encourage best practices, efficiency, and new ideas</span></p><br></li></ul><p><strong>As a Unifone you’ll receive a range of benefits:</strong></p><br><ul><li><p><span>Competitive salary and bonus</span></p><br></li><li><p><span>Unifonic share scheme (we are all owners!)</span></p><br></li><li><p><span>30 holiday days after the first anniversary</span></p><br></li><li><p><span>Your Birthday off!</span></p><br></li><li><p><span>Spend up to 25 days per year working from anywhere in the world!</span></p><br></li><li><p><span>Paid leave for new parents</span></p><br></li></ul> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>About Thndr</strong><p>Thndr is on a mission to make investing simple and accessible for everyone across the Middle East and North Africa. Since launching in 2019 and going through Y Combinator shortly after, we have grown into Egypt's number one investing app, with millions of people putting their money to work in stocks, gold, mutual funds, and more, many of them investing for the very first time.</p><br><p>We are licensed by Egypt's Financial Regulatory Authority and are a member of the Egyptian Exchange. In 2024 we expanded into the UAE under an ADGM license, and in 2025 we became the first remote retail trading member of the Abu Dhabi Securities Exchange. That same year, the World Economic Forum named us a Technology Pioneer, the only Egyptian company alongside Apple, Google, Dropbox, and others. In 2026, The Financial Times named us the fastest growing company in Africa. We are backed by investors including Tiger Global, Prosus Ventures, BECO Capital, and Y Combinator, and we are only getting started.</p><br><strong>The team you would join</strong><p>Today, roughly 40% of all transactions on the Egyptian Exchange flow through Thndr. Behind almost everything a user sees or relies on is market data, and the Feed team owns it. Live and delayed prices, statistics, charts, and asset data across every market we operate in all flow through systems we build and run.</p><br><p>We ingest data from different providers, sometimes multiple per market, and expose it to the rest of Thndr through a single, unified feed. Nearly everything downstream depends on it: the live prices users watch, the alerts we fire when something moves, and the limit orders that execute off the numbers we serve. Our users range from first-time investors making a decision about where to put their money, to technical traders who need immediate, actionable insights. Every millisecond matters. When a price arrives late or wrong, it is not a cosmetic bug, it is real money for real people acting on information that has to arrive on time, every time.</p><br><p>On top of that, we are building for scale, and one that is genuinely hard: a feed engineered to handle 100,000+ assets and hundreds of thousands of price updates a second, without dropping a beat.</p><br><p>This is a sensitive system, and a foundational one. Providers fail, connections drop, and infrastructure gives out mid-session, and none of that is an excuse to stop serving users. Much of the hard part is staying correct and available when something upstream breaks: failing over in the middle of an open market, absorbing a provider outage, and keeping the feed flowing when the pieces underneath it do not. You would be working alongside some of our strongest engineers on problems that are unusually hard and unusually consequential, owning systems the rest of the platform quietly depends on.</p><br><strong>What You'll Do</strong><ul><li><p>Design, build, and operate the feed services that serve market data across Egypt, UAE, US, and soon KSA, processing large volumes of data and events with very low latency and high reliability.</p><br></li><li><p>Keep the feed available and correct when things break, owning the SLOs and overall health of your services, with strong observability, sensible on-call, and graceful failover when a provider drops or infrastructure gives out mid-market.</p><br></li><li><p>Understand the different databases and data models we use, Redis, ClickHouse, and Postgres, how each behaves, and when to reach for which.</p><br></li><li><p>Own the infrastructure the feed runs on. Understand how data reaches us from each provider, and build in redundancy where it matters so a single upstream failure never takes us down.</p><br></li><li><p>Identify technical debt and reliability risks in your area and steadily improve the systems you own.</p><br></li><li><p>Raise the bar on quality and operational discipline, and support the engineers around you through code and design reviews and pairing.</p><br></li></ul><strong>What You'll Need</strong><ul><li><p>A strong track record of designing, shipping, and operating reliable backend systems in production, used by large numbers of people.</p><br></li><li><p>Real depth in distributed systems, and a clear understanding of what it takes to keep them fast and correct under load and under failure.</p><br></li><li><p>Comfort owning systems end to end, from design through production and on-call. You care not just about writing the code, but about how it behaves when a provider drops or a node fails.</p><br></li><li><p>A feel for performance, and the instinct to treat latency and throughput as first-class concerns rather than afterthoughts.</p><br></li><li><p>Familiarity with our stack, or the confidence to get there quickly: Python, C#, .NET Core, Golang, PostgreSQL, RabbitMQ, Redis, and ClickHouse.</p><br></li><li><p>A high bar for correctness and operational discipline. You understand what it means to run a system where a mistake has real consequences for real people.</p><br></li><li><p>A clear, candid communicator who can hold their own with other engineers and work closely with the teams that build on what you provide.</p><br></li></ul><strong>Nice to have</strong><ul><li><p>Experience building systems optimized for real-time performance, where latency and throughput are on the line.</p><br></li><li><p>Experience with ClickHouse or similar OLAP databases, and the query and schema patterns that get the most out of them.</p><br></li><li><p>Experience in fintech, brokerage, trading, or another regulated, high-stakes domain where correctness and timing matter.</p><br></li><li><p>Experience operating hybrid infrastructure. Ours runs on-prem in Egypt and on AWS in the UAE.</p><br></li></ul><strong>Why this role</strong><p>The feed sits underneath almost everything Thndr does. Every price a user watches, every alert we send, and every order that fires does so because the feed delivered the right number at the right moment. It is some of the most performance-critical engineering in the company, the kind of work where being fast and being correct are the same problem, and it matters to millions of people.</p><br><p>If building systems that have to be fast, correct, and trusted without exception sounds like your kind of challenge, and if doing it at real scale across multiple markets excites you, we would love to hear from you.</p><br><strong>Who Are We?</strong><p>Thndr was founded on a bold dream to democratize access to investing through smart tech and human-centric design. This is simply our way of saying we give anyone with a smartphone the simple and easy access they need to preserve and grow their wealth. At the same time, we’re shaping the future of investing while actively driving the economies we serve by promoting local investment products.</p><br><p>History has shown that investing is the single greatest way to build long-term wealth, but before Thndr, only a very small percentage of people had access to it due to:</p><br><ul><li><p>High barriers to entry — In the form of excessive minimum account balances, complex, outdated onboarding, and low financial literacy.</p><br></li><li><p>Irrelevant experience — Catered toward expert traders and financial specialists, therefore alienating the majority of the population.</p><br></li><li><p>Fragmented offering — Investment products were not gathered in a single, intuitive outlet.</p><br></li></ul><p>We don't just talk about change, we deliver it. Here's a glimpse into our impact so far:</p><br><ul><li><p><strong>5.5 million</strong> app downloads</p><br></li><li><p><strong>EGP 1B+ average daily traded value</strong> across 2025</p><br></li><li><p><strong>#1 digital investing platform</strong> in Egypt for the <strong>third consecutive year</strong></p><br></li><li><p><strong>76% of users are first-time investors</strong></p><br></li><li><p><strong>40%</strong> of our users come from outside of capital cities and have previously had limited access to financial institutions</p><br></li></ul><p>Building on the success of our core platform, we are continuing to change culture and break down barriers by launching Rumble, the subscription-based investment recommendations platform.</p><br><p><strong>Rumble </strong>was born with the vision to empower everyday individuals to build wealth confidently and intelligently through access to timely and in-depth advice from the industry’s top experts.</p><br><p>Going beyond traditional investment advice, it offers long and short-term investment recommendations and financial content through engaging articles and videos that guide users on their financial journey and maximize their returns.</p><br><p>At <strong>Thndr</strong>, we're looking for people driven by our mission to help us democratize investing across the MENA region.</p><br> </div>

Company Overview<br><br>Siemens EDA is a global technology leader in Electronic Design Automation software. Our software tools enable companies around the world to develop new and highly innovative electronic products faster and more cost-effectively. Our customers use our tools to push the boundaries of technology and physics in order to deliver better products in the increasingly complex world of chip, board and system design.<br><br>Position Overview<br><br>Join our team in Cairo as an IC Design Consultant and become a trusted technical advisor to our customers. You'll support the adoption and deployment of Siemens' Calibre technologies in the design of complex integrated circuits, helping customers meet their technical objectives. Working alongside a collaborative team, you'll employ various tools and techniques to support the development and enablement of Calibre physical verification flows. This role offers an excellent opportunity to grow your expertise in semiconductor design while building strong customer relationships and making a direct impact on product success.<br><br>Key Responsibilities<br><br>Deliver consulting services covering a broad range of physical verification activities and customer objectives Enable customer adoption of the full capabilities of Calibre EDA software and methodologies Effectively communicate how Siemens' products and services address customer technical objectives Build and maintain strong, positive relationships with customers through technical excellence and responsiveness Collaborate with team members to ensure mutual success and knowledge sharing Travel to customer sites for short or long durations to provide on-site technical support and training<br><br>Qualifications<br><br>Required:<br><br>Bachelor's degree (B. Sc.) in Electronics and Communication Engineering or related field - or equivalent Knowledge of Backend Layout Design and Verification Familiarity with Siemens' Physical Verification tools (Calibre DRC/LVS/x RC/PERC) Programming experience in Linux and Python Ability to travel and work at customer sites for extended periods Strong communication skills, including the ability to present ideas and share knowledge effectively<br><br>Preferred:<br><br>Experience in a similar consulting or application engineering role Experience with semiconductor manufacturing processes Knowledge of advanced verification methodologies<br><br>Why Us<br><br>At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!<br><br>Our Benefits & Rewards<br><br>The total cash compensation range for this position is USD 23,600 to USD 84,500 with 20% of this being comprised of an annual incentive target (100% achievement). The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/<br><br>Diversity & Inclusion<br><br>We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us.<br><br>Siemens Software. Transform the Everyday

Job Title: Senior Research Associate Location: Cairo, Egypt Employing Entity: Essam & May Allam Foundation (EMAF) Reports to: Mariam Essam Allam (EMAF Founder); Asim Khwaja (Harvard University, Project PI)<br>The Essam & May Allam Foundation (EMAF), established in 2025 by the Essam Hassan Allam family, is dedicated to breaking the cycle of poverty in Egypt through evidence-based, high-impact initiatives in agriculture and education. To this end, EMAF has entered into a strategic collaboration with the Harvard Center for International Development (CID) to advance effective philanthropy and evidence-based programming in early childhood and primary education across Egypt. The Center for International Development (CID) is Harvard University’s hub for cutting-edge research on the world’s most pressing international development issues. Based at Harvard Kennedy School, CID brings researchers and practitioners together across the university to collaborate, using the latest analytical tools to address pressing development challenges. CID organizes global talent worldwide by investing in people, places, and ideas to build a thriving world for all. The Senior Research Associate will be based at EMAF and work under the direction of Principal Investigator Asim Khwaja and the management team at CID to support the implementation of the Egypt Education Systems Opportunity Assessment project. The Opportunity Assessment seeks to identify high-leverage opportunities for philanthropic investment, policy innovation, and future research collaboration in Egypt’s education sector, with an initial focus on early childhood and primary education. Drawing on existing evidence, stakeholder engagement, and targeted fieldwork, the project will identify key challenges, evidence gaps, and promising investment and policy opportunities to improve education outcomes in Egypt. Based in Egypt, the Senior Research Associate will play a central role in designing and implementing mixed-methods research activities that inform the Opportunity Assessment’s findings and recommendations. Working closely with the Principal Investigator team and local collaborators, the successful candidate will lead qualitative fieldwork activities, contribute to the interpretation of quantitative evidence, support project coordination, and contribute to the analysis and synthesis of evidence from a wide range of stakeholders. The position offers a unique opportunity to work at the intersection of research, policy, and practice while collaborating with leading researchers, policymakers, practitioners, and development stakeholders in Egypt and internationally. Research Design, Fieldwork, and Analysis• Lead the implementation of mixed-methods research activities for the Egypt Education Systems Opportunity Assessment project, under direction of senior team members.• Develop interview guides, focus group discussion protocols, stakeholder engagement tools, and other qualitative research instruments in collaboration with the Principal Investigator team and senior project leadership.• Conduct interviews, focus groups, and other qualitative data collection activities.• Analyze and synthesize qualitative and, where available, quantitative evidence to identify key themes, constraints, opportunities, and implications for future research, policy, and philanthropic investment.• Contribute to the compilation, interpretation, and synthesis of quantitative datasets and descriptive statistical analyses to complement qualitative findings and inform project recommendations.• Contribute to the identification of priority research questions, evidence gaps, and areas requiring additional primary data collection.• Implement evidence-informed frameworks to assess the feasibility, scalability, and potential cost-effectiveness of proposed interventions, research initiatives, and philanthropic investment opportunities.• Contribute to the preparation of reports, presentations, policy briefs, stakeholder memos, and other written outputs for academic, policy, philanthropic, and practitioner audiences. Field Operations and Stakeholder Engagement• Develop fieldwork plans, data collection protocols, quality assurance systems, and training materials to ensure high-quality implementation of research activities.• Coordinate field logistics, scheduling, stakeholder outreach, and data collection activities across multiple locations in Egypt, including potentially recruiting, training, and supervising enumerators as needed.• Monitor fieldwork progress and data quality and ensure adherence to research ethics requirements, informed consent procedures, and other applicable research protocols and standards.• Support engagement with local stakeholders by helping identify interview participants, facilitating meetings, and maintaining productive relationships with research participants and collaborating organizations.• Provide regular updates, analysis, and recommendations to project leadership regarding research findings, implementation considerations, and emerging opportunities.• Contribute to other related research, fieldwork, and project activities as required. Basic Qualifications• Master’s degree in education, public policy, international development, economics, sociology, political science, anthropology, or a related field.• Minimum of 3 years of relevant professional experience conducting applied research, policy research, program evaluation, or related work.• Demonstrated experience designing and implementing mixed-methods research activities, with a strong understanding of qualitative and quantitative research methods and the ability to synthesize evidence from multiple sources into policy-relevant recommendations.• Demonstrated ability to manage multiple priorities, work independently, and deliver high-quality outputs in a fast-paced environment.• Experience working with government agencies, international organizations, research institutions, civil society organizations, or philanthropic actors.• Strong interpersonal skills and demonstrated ability to engage effectively with stakeholders from diverse professional, institutional, and cultural backgrounds.• Excellent written and verbal communication skills in both Arabic and English.• Willingness to travel within Egypt as required. Additional Qualifications and Skills• Experience conducting research or programmatic work related to education, human development, social policy, or international development.• Strong qualitative data analysis skills, including experience with coding frameworks and qualitative analysis software such as NVivo, Atlas.ti, or similar tools.• Experience working with administrative, survey, or other quantitative datasets and familiarity with descriptive statistical analysis and software packages such as Stata, R, or Python is desirable.• Experience developing reports, policy briefs, presentations, or other written products for government, donor, academic, or practitioner audiences.• Familiarity with research ethics processes, informed consent procedures, and human subjects research protocols. How to apply: Please direct all application materials to admin@allamfoundation.com, ccing sabribenzaid@hks.harvard.edu. Please include the following materials with your application packet:· Resume· Cover Letter· Two writing samples:o One data related writing sample, demonstrating analytical ability to understand and interpret qualitative or quantitative data (a mixed methods example would be most ideal).o One report, policy brief, presentation, or other written products for government/donor/practitioner audiences demonstrating the ability to translate research for external audiences.· Transcripts for undergraduate and graduate degrees, as applicable If AI was used to prepare any part of your application, especially writing samples, please include a 1 paragraph explanation of what AI tools you used and how.

<p><h4>Connect to your career at Deloitte</h4> <p>Deloitte, established globally in 1845, is the world’s largest and leading professional services firm, providing audit & assurance, tax & legal, and consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.</p> <p>Deloitte Innovation Hub (DIH) is a strategic initiative established to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients’ most complex business problems, across portfolios that include ‘Strategy & Transactions’, ‘Customer’, ‘Engineering, AI & Data’, ‘Enterprise, Technology & Performance’ and ‘Cyber’. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.</p> <p>We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.</p> <h4>Connect to your opportunity</h4> <ul> <li>Identify and solve complex problems using a structured and logical approach.</li> <li>Stay up to date on the latest data engineering technologies and trends.</li> <li>Work with other engineering teams to integrate data engineering solutions with other systems.</li> <li>Maintain and optimize data systems to ensure high availability and performance.</li> <li>Design and implement data pipelines to collect, transform, and load data into data warehouses and data lakes.</li> <li>Gather requirements from stakeholders and translate them into technical specifications.</li> <li>Lead a team of data engineers in the design, development, and implementation of data engineering solutions.</li> <li>Manage functional and non-functional requirements and have a deep understanding of systems engineering methodologies.</li> <li>Build and maintain positive relationships with stakeholders, and effectively communicate technical concepts to non-technical audiences.</li> <li>Manage multiple projects simultaneously in a highly organized and efficient manner.</li> <li>Think creatively and come up with new solutions to problems.</li> <li>Communicate effectively with technical and non-technical audiences, both verbally and in writing.</li> </ul> <h4>Connect to your skills and professional experience</h4> <ul> <li><strong>Technical skills:</strong> 7+ years of relevant experience.</li> <li><strong>Cloud computing platforms:</strong> AWS / Azure / GCP</li> <li><strong>Programming languages:</strong> Python / Java / Scala & Unix Shell scripting</li> <li><strong>Data warehouse technologies:</strong> Redshift / Snowflake / BigQuery</li> <li><strong>Data lake technologies:</strong> Hadoop, Apache Beam, Spark, and Hive</li> <li><strong>Orchestration:</strong> Airflow / Control-M / (Any orchestration tool)</li> <li><strong>Machine learning frameworks:</strong> TensorFlow, PyTorch, and scikit-learn</li> </ul> <h4>Connect to your service line - Technology & Transformation</h4> <p>Distinctive thinking, deep expertise, and collaborative working. That’s what connects us. That’s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we’ll make an impact that matters.</p> <h4>Personal independence</h4> <p>Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your immediate family members are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.</p> <h4>Connect to your industry</h4> <p>“What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte’s clients include many of the world’s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.”<br><strong>- Dan, Technology and Transformation</strong></p> <h4>Our commitment to you</h4> <p>Making an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.</p> <p>We want you. The true you. Your own strengths, perspective, and personality. So, we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we’ll take your wellbeing seriously, too. Because it’s only when you’re comfortable and at your best that you can make the kind of impact you, and we, live for.</p> <p>Your expertise is our capability, so we’ll make sure it never stops growing. Whether it’s from the complex work you do, or the people you collaborate with, you’ll learn every day. Through world-class development, you’ll gain invaluable technical and personal skills. Whatever your level, you’ll learn how to lead.</p> <h4>Connect to your next step</h4> <p>A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see. You’ll be free to bring your true self to work every day. And you’ll never stop growing, whatever your level.</p></p><p></p>

<p><strong>The Opportunity</strong></p><p>This is not a role where you spend your week pulling reports people may or may not look at.</p><p>We want someone who can get inside the business, understand how Sales, Customer Success, Marketing, Payments, and Finance operate, and turn messy data and manual processes into scalable systems.</p><p>You will become one of the key owners of our revenue data and HubSpot environment, helping us understand what is happening across the customer lifecycle, improving how our teams operate, and building AI agents and automations that remove repetitive work.</p><p>You will have significant freedom to identify problems and build solutions.</p><p><strong>What Success Looks Like</strong></p><p>In your first year, you will help us:</p><ul><li>Establish reliable reporting and KPI infrastructure across Sales, Customer Success, Marketing, and Payments</li><li>Improve the accuracy, structure, and usability of HubSpot across the organization</li><li>Create a clear view of the entire revenue funnel, from lead through acquisition, onboarding, retention, expansion, and payments adoption</li><li>Reduce manual reporting and administrative work through automation</li><li>Build AI agents and workflows that make our teams faster and more effective; with a focus on go to market and reporting</li><li>Improve forecasting, pipeline visibility, customer segmentation, and revenue analysis</li><li>Create trusted datasets and dashboards that leadership can use to make decisions quickly</li><li>Identify revenue opportunities and operational issues before someone has to ask</li></ul><p><strong>What You’ll Do</strong></p><p><strong>Revenue Operations &amp; Analytics</strong></p><ul><li>Build and maintain dashboards, reporting, and analytical models across the customer lifecycle</li><li>Partner with Sales, Customer Success, Marketing, Payments, and Finance to define and track meaningful KPIs</li><li>Analyze pipeline, conversion, retention, expansion, payments adoption, and customer behavior</li><li>Help improve forecasting accuracy and pipeline management</li><li>Identify trends, bottlenecks, anomalies, and opportunities hidden within our data</li><li>Develop customer segmentation and cohort analysis to support GTM decisions</li><li>Translate business questions into clear analysis and actionable recommendations</li><li>Create scalable reporting rather than relying on manual spreadsheets and one-off analysis</li></ul><p><strong>HubSpot Ownership &amp; RevOps</strong></p><ul><li>Help own and continuously improve our HubSpot environment</li><li>Build and maintain workflows, properties, lifecycle stages, pipelines, reporting, and automation</li><li>Improve CRM data quality, governance, and consistency</li><li>Design processes that make HubSpot easier for Sales and Customer Success teams to use correctly</li><li>Connect HubSpot data with other business systems and datasets</li><li>Automate lead routing, customer workflows, lifecycle management, alerts, and internal processes</li><li>Help establish scalable RevOps processes as the company grows</li></ul><p><strong>AI Agents &amp; Automation</strong></p><ul><li>Identify repetitive or manual workflows that can be automated</li><li>Build AI agents that can analyze information, perform tasks, and support business processes</li><li>Create workflows that combine AI models, internal data, APIs, and business applications</li><li>Experiment rapidly with new AI capabilities and turn useful prototypes into repeatable internal tools</li><li>Build agents for use cases such as research, account intelligence, reporting, data enrichment, customer insights, and internal operations</li><li>Measure whether automation actually saves time, improves accuracy, or drives better business outcomes</li><li>Help teams understand where AI is useful and where traditional automation or analytics is the better solution</li></ul><p><strong>Data Quality &amp; Infrastructure</strong></p><ul><li>Combine data from HubSpot and other business systems into consistent reporting</li><li>Help define our source-of-truth metrics and business definitions</li><li>Identify and resolve data quality issues</li><li>Work with Product and Engineering when deeper integrations or data infrastructure are required</li><li>Document key metrics, processes, workflows, and data definitions so systems can scale with the company</li></ul><p><strong>What We’re Looking For</strong></p><ul><li>2–5 years of experience in data analytics, Revenue Operations, Business Operations, or a similar analytical role</li><li>Strong hands-on experience with <strong>HubSpot</strong></li><li>Experience working with Sales, Customer Success, Marketing, or broader GTM organizations</li><li>Strong SQL and data analysis skills</li><li>Experience building dashboards and reporting using BI or visualization tools</li><li>Advanced Excel or Google Sheets capabilities</li><li>Comfortable working with imperfect datasets and figuring out how to make them useful</li><li>Experience designing workflows and automating business processes</li><li>Ability to translate analysis into clear business recommendations</li><li>Strong curiosity and willingness to dig into how the business actually works</li><li>Comfortable operating in a fast-moving environment where not everything has already been built</li></ul><p><strong>AI &amp; Automation Experience</strong></p><p>We are specifically looking for someone who is excited about using AI as a practical business tool.</p><p>You should have experience experimenting with or building solutions using some combination of:</p><ul><li>AI agents and agentic workflows</li><li>Large language models</li><li>APIs and webhooks</li><li>Workflow automation platforms</li><li>Python or JavaScript</li><li>Structured prompts and tool calling</li><li>Data enrichment and research automation</li><li>Connecting AI models to business applications and internal data</li></ul><p>You do not need to be an AI engineer.</p><p>You do need to be someone who sees a repetitive process and immediately starts wondering whether there is a better way to do it.</p><p><strong>You’ll Thrive Here If…</strong></p><ul><li>You like building things from scratch</li><li>You are naturally curious about how businesses make money</li><li>You would rather solve the underlying problem than keep producing the same report every Monday</li><li>You are comfortable moving between data analysis, systems, automation, and business conversations</li><li>You ask good questions and challenge assumptions</li><li>You care about clean data but understand that real-world data rarely starts clean</li><li>You can explain complicated analysis without making it complicated</li><li>You enjoy experimenting with new technology and figuring out where it creates real value</li><li>You want ownership rather than a narrowly defined list of tasks</li></ul>