Python Developer Jobs - Cairo Egypt

About Turing Turing is one of the world’s fastest-growing AI companies accelerating the advancement and deployment of powerful AI systems. Turing helps customers in two ways: Working with the world’s leading AI labs to advance frontier model capabilities in thinking, reasoning, coding, agentic behavior, multimodality, multilinguality, STEM and frontier knowledge; and leveraging that work to build real-world AI systems that solve mission-critical priorities for companies.<br>Role Overview We are looking for an experienced Power Electronics PCB Design Expert to design, evaluate, and validate power electronic circuits and PCB layouts. The ideal candidate will have strong expertise in power supply design, component selection, PCB layout best practices, and design verification methodologies.<br>Key Responsibilties Design power electronic circuits including DC-DC converters, LDOs, AC-DC power supplies, and automotive power systems. Create schematics and PCB layouts using tools such as KiCad, Altium, or equivalent. Select components based on electrical, thermal, and reliability requirements. Perform design analysis for efficiency, ripple, thermal performance, EMI, and manufacturability. Generate manufacturing deliverables including BOMs, Gerber files, and assembly data. Validate designs through simulations, calculations, DRC/LVS checks, and design reviews. Develop and apply verification frameworks for schematic and PCB layout quality, including specification compliance, topology validation, component derating, DFM, thermal integrity, and power integrity.<br>Required Skills Strong understanding of power electronics fundamentals (DC-DC converters, switching regulators, LDOs, power components). Hands-on experience with schematic design and PCB layout. Proficiency with PCB design tools (KiCad, Altium, or similar). Ability to interpret datasheets and validate component selection. Knowledge of DRC, manufacturability, grounding, routing, and EMI best practices.<br>Preferred Skills Experience with AC-DC power supply design and automotive electronics. Familiarity with thermal analysis, power integrity, and simulation tools. Experience developing hardware validation or evaluation frameworks. Basic scripting experience (Python/terminal-based verification workflows).<br>Qualification Bachelor's or Master's degree in Electrical/Electronics Engineering or related field.5+ years of experience in power electronics and PCB design.<br>Key Compentencies Strong analytical and problem-solving skills. Attention to detail and design quality. Ability to work independently and collaborate across teams. Effective communication skills.

Platform Engineer<br>We believe superior performance – individual and team – that helps us drive innovations and solutions should be recognized and rewarded. Along with the chance to “make things no one else can” (our employees’ words), we provide a competitive compensation and benefits programs to attract, retain and motivate a high-performance workforce, and it’s flexible enough to meet the different needs of our diverse employee population.<br>Responsibilities:Developing the “company’s next-gen public / private, portable cloud platform” - Paa SDesigning, developing and deploying business software at scale Deploying and maintaining solutions in various infrastructure environments Verify technical feasibility and validate solution options for the requirements Align with product and development teams on providing training, knowledge transfer and subject matter expertise. Translate the company’s business requirements into systems design, including high-availability and disaster recovery. Excellent communication skills, both written and oral with the ability to adjust the messaging based on the audience Requirements:5 years of experience as a Platform Engineer Experience with Kubernetes and Docker (Using & Administration, including deployment of Kubernetes or K3S) Developing and maintaining Helm Charts and Dockerfiles from open Deploying solutions in different environments (Open Stack, Proxmox, Bare Metal) Experience with Git Ops approach and Argo CD/Flux CDSoftware development knowledge of at least one of these programming languages: Python, Bash (Go, Java can be an advantage) Strong Linux Administrator skills. (Managing network configuration, users, permissions, debugging various issues) Experience with Infrastructure as Code tools like Terraform/Ansible CI/CD environment creation and maintenance using Atlassian Bamboo/Azure Devops/Gitlab Actions Developing tests in a TDD approach – Behave testing framework Bonus points for:Experience influencing application modernization and migration to cloud platforms. Worked with cloud providers: AWS, Azure, GCPBroad knowledge in systems logging, monitoring and telemetry (ELK, Grafana, Prometheus etc.) Knowledge of Dev Sec Ops concepts and tools - X-Ray (Artifactory), Trivy, CIS, Nessus, Sealed Secrets, SOPS, OWASP, Renovate Familiarity with Gen AI tools, working and extending (Claude Code skills etc.) Experience documenting microservices based, system architectures via modeling diagrams and effectively transitioning those architectures to implementation teams

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph">- Experience that includes strong analytical skills, attention to detail, and effective communication abilities<br>- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams<br>- Experience managing and executing large projects from start to finish, including project management, data gathering and modeling, problem solving, and communicating recommendations<br>- Experience understanding needs of business and end customers and translating them into right solutions<br>- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.<br> <br> <br>Key job responsibilities<br> <br> Development of data collection processes and data management systems<br> Designing of queries, compiling of data, and generation of reports in SQL<br> Charting and graphing of data for reporting purposes<br> Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities<br> Develop automation solution for analysis (python)<br> Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)<br> Supporting leadership team how to interpret data trends as needed<br> In depth research of defect trends<br> Present analysis in easily digestible standard reports<br> Support to ICQA &amp; Learning Team Projects</div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph">- Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support<br> <br>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you re applying in isn t listed, please contact your Recruiting Partner.</p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking a highly skilled Senior Test Engineer who will play a key role in shaping and executing our testing strategy across critical products and platforms. The individual will design and maintain test plans, lead complex testing activities, and drive continual improvements in automation, quality standards, and engineering practices. This role is ideal for someone who has understanding and hands on experience of the Digital ecosystem ( Appium, API, REST Assured) and knowledges in developments to automate things.</p><p>What you ll do</p><ul><li>Design, implement, review, and maintain test strategies, test plans, and test cases</li><li>Lead testing efforts for complex features or projects, coordinating closely with developers and product owners</li><li>Create, maintain, and execute both automated and manual test suites</li><li>Perform various types of testing including performance, regression, functional, and integration testing</li><li>Troubleshoot and analyze complex issues, providing detailed and actionable defect reports</li><li>Ensure optimal test coverage through risk-based analysis and impact assessments</li><li>Collaborate effectively within Agile/Scrum teams, actively participating in sprint planning, reviews, and retrospectives</li><li>Drive continuous improvement in test processes, tools, and overall QA effectiveness</li><li>Lead and facilitate defect triage meetings, working with developers to identify and resolve root causes</li><li>Apply strong knowledge of Object-Oriented Programming (OOP) to write clean, maintainable, and reusable test automation code</li><li>Develop and maintain robust test automation frameworks for web, mobile, and API layers</li><li>Review test automation code to ensure best practices, maintainability, and adherence to quality standards</li></ul><p>Who you are</p><ul><li>4+ years of experience in software testing or quality assurance</li><li>6 months minimum in Cypress or Playwright</li><li>2 years Strong experience in writing automated tests using tools selenium or appium.</li><li>Fluent English Speaker</li><li>Experience in Web, Mobile and API testing.</li><li>Expertise in Agile/Scrum and/or DevOps environments</li><li>Expertise in test management and bug-tracking tools: Jira, TestRail, Zephyr</li><li>Proficiency in scripting or programming languages (e.g., Python, JavaScript, Java)</li><li>Deep understanding of testing methodologies (unit, integration, system, UAT)</li><li>Hands-on experience with CI/CD tools and frameworks (e.g., azure, GitHub actions)</li><li>Familiarity with containerization (e.g., Docker) and cloud platforms (AWS, Azure, or GCP) is a plus</li><li>Experience with performance/load testing tools (e.g., JMeter, locust) is a plus</li><li>Excellent analytical and problem-solving skills</li><li>Leadership and mentoring experience</li><li>Strong communication skills and ability to work cross-functionally</li><li>High attention to detail and a strong commitment to quality</li></ul><p>Not a perfect fit?</p><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><p>What's in it for you</p><ul><li>Opportunity to work on advanced digital platforms within a global organisation</li><li>Exposure to modern QA practices, automation frameworks, and CI/CD pipelines</li><li>Collaborative and supportive Agile working environment</li><li>Opportunities to contribute to innovation and process improvement initiatives</li><li>Professional growth through mentoring and cross-functional collaboration</li></ul><p>What skills you will learn</p><ul><li>Advanced test automation design and framework development</li><li>Scalable testing strategies for complex systems</li><li>Enhanced expertise in Agile and DevOps practices</li><li>Hands-on experience with cloud-based and containerised environments</li><li>Leadership and mentoring capabilities within technical teams</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>4+ years of experience in software testing or quality assurance</li><li>6 months minimum in Cypress or Playwright</li><li>2 years Strong experience in writing automated tests using tools selenium or appium.</li><li>Fluent English Speaker</li><li>Experience in Web, Mobile and API testing.</li><li>Expertise in Agile/Scrum and/or DevOps environments</li><li>Expertise in test management and bug-tracking tools: Jira, TestRail, Zephyr</li><li>Proficiency in scripting or programming languages (e.g., Python, JavaScript, Java)</li><li>Deep understanding of testing methodologies (unit, integration, system, UAT)</li><li>Hands-on experience with CI/CD tools and frameworks (e.g., azure, GitHub actions)</li><li>Familiarity with containerization (e.g., Docker) and cloud platforms (AWS, Azure, or GCP) is a plus</li><li>Experience with performance/load testing tools (e.g., JMeter, locust) is a plus</li><li>Excellent analytical and problem-solving skills</li><li>Leadership and mentoring experience</li><li>Strong communication skills and ability to work cross-functionally</li><li>High attention to detail and a strong commitment to quality</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Lean is expanding our footprint by opening an office in Egypt this summer, and the Staff DevOps Engineer role is one of our first hires in the market. We re a Series B fintech (General Catalyst and Sequoia backed), and over the last few years, we have grown from a category-defining open banking company into a multi-rail infrastructure layer powering payments, data, and lending across MENA. Cairo is a long-term bet on a market we believe in, and the people who join now will shape what Lean looks like there for years to come. You will be working alongside a very diverse team of 30+ nationalities, with backgrounds from some of the best fintechs in the region and globally. The work is hard, the standards are high, and the ownership is real. If you are a builder who wants to set the standard, this is the right moment to join.</p><p>About the role As a Staff DevOps &amp; Site Reliability Engineer, you will operate at the intersection of DevOps, platform engineering, and SRE, owning the architecture, reliability strategy, and scalability of our infrastructure across hybrid and multi-cloud environments. This is a high-impact role where you will define how infrastructure is built, operated, and scaled across the company, not just implement it.</p><p>What You ll Do</p><ul><li>Define and own the infrastructure architecture strategy across hybrid cloud (GCP, OCI, on-prem)</li><li>Design and evolve Kubernetes platforms for multi-region scalability, resilience, and cost efficiency</li><li>Establish and drive Infrastructure as Code and GitOps standards across all environments</li><li>Build and scale observability systems (metrics, logging, tracing) to support proactive reliability</li><li>Lead efforts to meet and exceed SLA, SLO, and error budget targets</li><li>Own and improve incident management processes, including postmortems and systemic fixes</li><li>Drive automation strategy across provisioning, scaling, patching, and operations</li><li>Champion security, compliance, and reliability best practices (SOC 2, ISO 27001, CIS benchmarks)</li><li>Partner with engineering teams to improve developer experience and platform usability</li><li>Mentor engineers and act as a technical leader across DevOps and infrastructure domains</li></ul><p>Must-Have Technical Skills</p><ul><li>8+ years of experience in DevOps / SRE / Platform Engineering</li><li>Strong experience designing and operating distributed systems at scale</li><li>Deep expertise in: Linux systems and internals Networking (TCP/IP, DNS, VPNs, routing, firewalls) Kubernetes (design, operations, and troubleshooting) Terraform (or equivalent IaC tools)</li><li>Strong programming/scripting skills (Python, Go, or similar)</li><li>Experience with multi-cloud or hybrid cloud environments (GCP, OCI preferred)</li></ul><p>Additional Technical Experience:</p><ul><li>CI/CD systems (GitHub Actions, Jenkins, ArgoCD)</li><li>Containerization and orchestration (Docker, Kubernetes)</li><li>Observability stacks (Prometheus, Grafana, ELK, OpenTelemetry)</li><li>Datastores: PostgreSQL, MongoDB, Redis</li><li>Security and compliance frameworks (SOC 2, ISO 27001, CIS)</li><li>Performance optimization in distributed systems</li></ul><p>Desired Qualifications</p><ul><li>Experience in fintech or highly regulated environments</li><li>Strong understanding of multi-region and high-availability architectures</li><li>Exposure to edge/network platforms (e.g., Cloudflare)</li><li>Experience with service mesh (Istio, Linkerd)</li><li>Strong documentation and runbook culture</li><li>Passion for building resilient, scalable infrastructure platforms</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><strong>Must-Have Technical Skills</strong></p><ul><li>8+ years of experience in DevOps / SRE / Platform Engineering</li><li>Strong experience designing and operating distributed systems at scale</li><li>Deep expertise in: Linux systems and internals Networking (TCP/IP, DNS, VPNs, routing, firewalls) Kubernetes (design, operations, and troubleshooting) Terraform (or equivalent IaC tools)</li><li>Strong programming/scripting skills (Python, Go, or similar)</li><li>Experience with multi-cloud or hybrid cloud environments (GCP, OCI preferred)</li></ul><p><strong>Additional Technical Experience:</strong></p><ul><li>CI/CD systems (GitHub Actions, Jenkins, ArgoCD)</li><li>Containerization and orchestration (Docker, Kubernetes)</li><li>Observability stacks (Prometheus, Grafana, ELK, OpenTelemetry)</li><li>Datastores: PostgreSQL, MongoDB, Redis</li><li>Security and compliance frameworks (SOC 2, ISO 27001, CIS)</li><li>Performance optimization in distributed systems</li></ul><p><strong>Desired Qualifications</strong></p><ul><li>Experience in fintech or highly regulated environments</li><li>Strong understanding of multi-region and high-availability architectures</li><li>Exposure to edge/network platforms (e.g., Cloudflare)</li><li>Experience with service mesh (Istio, Linkerd)</li><li>Strong documentation and runbook culture</li><li>Passion for building resilient, scalable infrastructure platforms</li></ul><p>NB. While we think the above experience could be important, we re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!!</p><p></p></section>

Job Summary:<br><br>We are seeking a proactive and technically skilled Data Operations & Support Specialist to oversee the day-to-day management of data processes and ensure the reliability, performance, and quality of data systems. The ideal candidate will have strong SQL expertise, a solid understanding of operational support workflows, and experience in monitoring and troubleshooting database and batch processing environments.<br><br>Key Responsibilities:<br><br> Monitor and manage daily data loads, ETL jobs, and scheduled batch processes to ensure timely and successful execution. Identify, analyze, and troubleshoot data-related issues and system errors, coordinating with technical teams to ensure swift resolution. Ensure data availability, integrity, and quality to support business reporting and analytics needs. Maintain and improve operational runbooks, document procedures, and standard operating processes for data support activities. Collaborate with data engineering, analytics, and infrastructure teams to escalate and resolve complex incidents. Participate in incident, problem, and change management processes, ensuring proper tracking and communication of issues and enhancements. Assist in performance tuning of database queries and job optimization for improved system efficiency. <br><br>Requirements<br><br>Technical Skills & Qualifications:<br><br> Strong proficiency in SQL for querying, validation, and issue investigation. Experience with database performance monitoring, analysis, and troubleshooting. Familiarity with job scheduling tools (e.g., Control-M, Autosys, Cron, Airflow) and ETL workflows. Understanding of incident, problem, and change management frameworks (e.g., ITIL practices). Basic scripting knowledge (e.g., Shell, Python) is a plus. Exposure to cloud data environments (e.g., AWS, Azure, or GCP) is advantageous. <br><br>Preferred Qualifications:<br><br> Bachelor's degree in computer science, Information Technology, or a related field. 2+ years of experience in data operations, technical support, or database administration. Strong attention to detail, problem-solving abilities, and ability to work under pressure in a fast-paced environment. Good communication skills to collaborate effectively across technical and business teams. <br><br>Why Join Us?<br><br>You'll be part of a critical data support function that ensures uninterrupted access to reliable data across the organization. If you're driven by operational excellence and take pride in maintaining system stability and data quality, we want to hear from you.

Company Description<br> Foul Guard AI provides innovative and cost-effective solutions for detecting fouling and biofouling in water systems across industries such as desalination, municipal water, energy, manufacturing, and food processing. Utilizing advanced machine learning, deep learning, and real-time sensor analytics, our platform assists operators in identifying issues early, optimizing cleaning schedules, and reducing chemical usage. Available as both a cloud-based platform and a high-security offline solution, Foul Guard AI caters to facilities with strict operational and cybersecurity requirements. Designed by specialists in chemical engineering, data science, and water treatment, our solutions seamlessly integrate and scale with diverse industrial operations.<br> Role Description<br> This is a full-time remote role for a Deep Learning Specialist. The specialist will develop, train, and optimize deep learning models tailored to detecting patterns in water system datasets. Responsibilities include processing and analyzing large volumes of sensor data, fine-tuning machine learning pipelines, collaborating with cross-functional teams to enhance predictive analytics, and developing scalable algorithms for deployment in both cloud and offline environments. Additional duties involve staying updated with advancements in deep learning technologies and applying them to improve system performance.<br> Qualifications<br> Proficiency in developing and training deep learning models using frameworks such as Tensor Flow or PyTorch Expertise in large-scale data processing and analysis, including pre-processing techniques for time-series data Experience with machine learning pipelines, from model prototyping to deployment Strong programming skills, particularly in Python, and familiarity with libraries such as Num Py, pandas, and scikit-learn Understanding of real-time sensor data analytics and integration in cloud or offline environments Ability to work collaboratively with multidisciplinary teams, including data scientists and industry experts Exceptional problem-solving skills and ability to innovate within constraints A degree in Computer Science, Data Science, or a related field; a Master’s or PhD is advantageous Familiarity with water system processes and challenges in fouling detection is a plus

<p><h4>Join us</h4> <p>At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p> <h4>What you’ll do</h4> <li>Analyze data across digital platforms (web, mobile app, e-shop) to generate meaningful insights that support decision-making.</li> <li>Develop and maintain reports and dashboards using BI tools and AWS analytics services (e.g., Athena, QuickSight).</li> <li>Build scalable and well-structured data models using dimensional modeling techniques like star schema.</li> <li>Maintain our ETL pipelines.</li> <li>Collaborate with cross-functional teams to define reporting requirements and ensure accurate data collection.</li> <li>Perform in-depth analysis of digital funnel performance and customer behavior to support marketing and sales strategies.</li> <li>Ensure new digital initiatives include proper data tagging and tracking for comprehensive analytics coverage.</li> <li>Contribute to the overall improvement of data quality, structure, and governance.</li> <h4>Who you are</h4> <p><strong>Experience:</strong> 6–8 years in a data analytics or business intelligence role.</p> <p><strong>Technical skills:</strong></p> <li>Proficient in SQL for querying and manipulating large datasets.</li> <li>Comfortable with Python & Pyspark for data processing and automation.</li> <li>Solid understanding of data modeling concepts, including star schema.</li> <li>Hands-on experience with AWS analytics services such as Athena and QuickSight.</li> <li>Familiarity with BI tools (e.g., Tableau, Power BI, QuickSight).</li> <p><strong>Nice to have:</strong></p> <li>Knowledge of tag management systems (e.g., Tealium).</li> <li>Familiarity with ETL processes and tools.</li> <li>Awareness of digital analytics best practice.</li> <h4>Who we are</h4> <p>We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p> <p>Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p> <p>If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please let us know and we will be happy to support you.</p> <p>Together we can.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Summary We are seeking an experienced Platform Engineer to design, build, automate, and manage enterprise-grade application platforms and cloud-native infrastructure. The ideal candidate will have expertise in CI/CD, containerization, Kubernetes orchestration, Infrastructure as Code (IaC), configuration management, and platform automation to enable secure, scalable, and reliable software delivery.</p><p>Key Responsibilities</p><ul><li>Design, build, and maintain enterprise platform infrastructure and developer platforms.</li><li>Develop and manage CI/CD pipelines to automate application build, testing, deployment, and release processes.</li><li>Deploy and manage containerized applications using Kubernetes and enterprise container platforms.</li><li>Implement GitOps practices for automated application deployment and infrastructure management.</li><li>Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.</li><li>Manage virtualization and cloud infrastructure environments.</li><li>Monitor platform performance, availability, and reliability while implementing continuous improvements.</li><li>Collaborate with Development, DevOps, Security, and Operations teams to deliver scalable platform solutions.</li><li>Implement platform security, governance, backup, and disaster recovery best practices.</li><li>Create technical documentation, operational runbooks, and deployment standards.</li></ul><p>Must-Have Skills</p><ul><li>Experience with GitLab OR Jenkins for CI/CD pipeline development and automation.</li><li>Experience with Argo CD for GitOps-based application deployment.</li><li>Experience with SonarQube for code quality and static code analysis.</li><li>Experience with Renovate Bot or comparable dependency management and automation tools.</li><li>Hands-on experience with Docker OR Docker Compose for containerization.</li><li>Experience with Kubernetes OR OpenShift OR Oracle Kubernetes Engine (OKE) OR Google Cloud Run for container orchestration and cloud-native application deployment.</li><li>Experience with Terraform OR Ansible for Infrastructure as Code (IaC) and configuration management.</li><li>Experience with VMware vCenter OR OpenStack for virtualization and private cloud infrastructure.</li><li>Strong knowledge of Linux system administration and shell scripting.</li><li>Understanding of cloud-native architecture, networking, security, and platform engineering best practices.</li></ul><p>Good to Have</p><ul><li>Experience with AWS OR Microsoft Azure OR Google Cloud Platform (GCP) .</li><li>Experience with Helm OR Kustomize .</li><li>Knowledge of Prometheus OR Grafana OR ELK Stack for monitoring and observability.</li><li>Experience with HashiCorp Vault or other secrets management solutions.</li><li>Familiarity with Python OR Go for platform automation.</li><li>Experience implementing DevSecOps practices.</li><li>Knowledge of service mesh technologies such as Istio or Linkerd .</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.</li><li>3 12+ years of experience in Platform Engineering, DevOps, Cloud Infrastructure, Site Reliability Engineering (SRE), or Infrastructure Automation.</li><li>Preferred Skills: Experience designing and operating enterprise Kubernetes platforms. Strong understanding of GitOps, Infrastructure as Code, and cloud-native engineering principles. Experience delivering enterprise DevOps and platform modernization initiatives. Experience working in Agile/Scrum environments. Excellent communication, documentation, and stakeholder management skills. Ability to build secure, scalable, highly available, and automated platform solutions.</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Role Summary We are seeking an experienced DevOps Engineer to design, implement, and optimize CI/CD pipelines, infrastructure automation, and cloud-native deployment processes. The ideal candidate will have expertise in DevOps practices, Infrastructure as Code (IaC), release automation, containerization, and GitOps to enable secure, scalable, and reliable software delivery across enterprise environments. Key Responsibilities Design, build, and maintain automated CI/CD pipelines for application delivery. Implement Infrastructure as Code (IaC) to automate infrastructure provisioning and configuration. Develop and manage release automation processes to ensure reliable and repeatable deployments. Implement GitOps practices and deployment automation across multiple environments. Integrate code quality, security scanning, and testing into CI/CD pipelines. Collaborate with Development, Platform Engineering, QA, and Security teams to streamline software delivery. Monitor, troubleshoot, and optimize build, deployment, and release processes. Automate operational tasks using scripting and configuration management tools. Ensure platform security, scalability, availability, and compliance with enterprise standards. Maintain technical documentation and operational runbooks. Must-Have Skills Strong experience designing and managing CI/CD pipelines . Experience with GitLab OR Jenkins for continuous integration and continuous delivery. Experience implementing Infrastructure as Code (IaC) using Terraform OR Ansible . Experience with Argo CD or comparable GitOps deployment tools. Experience with SonarQube for code quality and static code analysis. Experience with Release Automation tools and deployment strategies. Hands-on experience with Docker OR Kubernetes for containerization and orchestration. Strong scripting skills using Bash OR PowerShell OR Python . Experience with Git version control and branching strategies. Strong understanding of DevOps principles, automation, and cloud-native architectures. Good to Have Experience with AWS OR Microsoft Azure OR Google Cloud Platform (GCP) . Experience with Helm OR Kustomize . Experience with Prometheus OR Grafana OR ELK Stack for monitoring and observability. Knowledge of HashiCorp Vault or other secrets management solutions. Experience implementing DevSecOps and security automation. Familiarity with Agile, Scrum, and Site Reliability Engineering (SRE) practices. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field. 3 12+ years of experience in DevOps, Infrastructure Automation, Platform Engineering, or Cloud Engineering. Preferred Skills Experience designing enterprise-scale CI/CD and GitOps platforms. Strong understanding of software release management and deployment best practices. Experience delivering cloud modernization and DevOps transformation initiatives. Excellent analytical, troubleshooting, and communication skills. Ability to build secure, scalable, highly available, and automated software delivery platforms.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field. 3 12+ years of experience in DevOps, Infrastructure Automation, Platform Engineering, or Cloud Engineering. Preferred Skills Experience designing enterprise-scale CI/CD and GitOps platforms. Strong understanding of software release management and deployment best practices. Experience delivering cloud modernization and DevOps transformation initiatives. Excellent analytical, troubleshooting, and communication skills. Ability to build secure, scalable, highly available, and automated software delivery platforms.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><strong>Technical Leadership Role:</strong> Define and own the end-to-end verification strategy, including planning, coverage closure, and sign-off criteria. Architect and own the development of reusable UVM-based environments for different digital and mixed signal IPs verification Drive adoption and continuous improvement of verification methodologies (UVM, formal verification, etc.) Oversee AMS co-simulation strategies using real-number modeling and behavioral analog models Ensure comprehensive verification of different modes of operation including protocol corner cases, training sequences, error injection and recovery, loopback and test modes Implement assertion-based verification for calibration and training correctness Stay current with industry trends and emerging verification tools and technologies, driving their adoption where applicable</p><p><strong>Program Execution:</strong> Collaborate closely with RTL design, architecture, and mixed signal design teams to ensure seamless integration and verification of IP blocks Own verification schedules, resource planning, and risk mitigation across concurrent projects Engage with customers and partners on IP deliverables, verification collateral, and integration support Represent the verification team in program reviews, milestone sign-offs, and customer-facing discussions Establish and track KPIs and quality metrics for verification completeness and team productivity</p><p><strong>People and Team Management:</strong> Lead, mentor and grow the verification team Drive hiring, onboarding, performance reviews, and career development plans Foster a culture of technical excellence, peer review, knowledge sharing, and continuous improvement Drive team motivation through clear vision-setting, timely recognition of achievements, and visible support during critical project phases Allocate resources across multiple concurrent IP projects, balancing schedules, skill sets, and priorities</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's or Master's degree in Electrical Engineering or Computer Engineering</li><li>12+ Years of experience in VLSI Digital Design/Verification, with 3-5+ years in a people management or technical lead role</li><li>Proven track record of taking IPs from spec to silicon-proven delivery</li><li>Strong command of UVM and System Verilog; constrained-random verification, coverage-driven verification, and assertion-based verification</li><li>Experience with gate-level simulation, X-propagation, and SDF back-annotation flows</li><li>Solid understanding of mixed signal verification including real number modeling, behavioral modeling and AMS co-sim</li><li>Experience verifying analog-digital interface boundaries, and calibration logic</li><li>Strong understanding of Verilog RTL design techniques and tradeoffs</li><li>Solid understanding of ASIC/FPGA design flows including RTL Synthesis, place and route, and timing sign-off</li><li>Strong knowledge of Python/Perl/TCL/Shell scripting languages</li><li>Experience working with global teams</li><li>Knowledge of clock and reset domain crossing techniques</li><li>Familiarity with ISO 26262 or other functional safety standards</li><li>Experience using version control tools, and bug tracking software</li><li>Familiarity with SERDES PHYs and Protocols</li></ul><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p> </p> <p> </p> <div> <div> <p> </p> </div> <div> <p> <span>Key Responsibilities</span> </p> </div> <div> <ul> <li> <p> <span>Design and develop robust technical architectures for ML and AI solutions.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Choose and implement optimal tools and technologies for each project.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Develop and operationalize AI models and algorithms, ensuring scalability and reliability.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Plan integration strategies for new solutions into existing client ecosystems.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Translate stakeholder and business analyst suggestions into actionable technical plans, elaborating project vision.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Collaborate closely with security and risk leaders to identify, address, and mitigate potential risks.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Work alongside data scientists and AI professionals to support digital transformation initiatives.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Stay up to date with emerging technologies and solutions to continuously add value for clients.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Provide expert guidance to clients on business requirements and industry best practices.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Deliver presentations and communicate complex technical concepts clearly to diverse audiences.</span> </p> </li> </ul> </div> <div> <p> <span>Requirements</span> </p> </div> <div> <ul> <li> <p> <span>Bachelor s degree in Computer Science or a related field (Master s degree preferred in Computer Science, Data Science, or AI-related discipline).</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Minimum 8+ years of experience in Applied AI Solution Architecture.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Proficiency in machine learning frameworks such as TensorFlow, Keras, and PyTorch.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Expertise in<span> programming languages like </span>Python,<span> </span>and<span> C</span>#.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Familiarity with cloud platforms such as Azure<span> (primary)</span>, AWS, and Google Cloud.</span> </p> </li> </ul> </div> </div> <div> <div> <ul> <li> <p> <span>Experience with big data technologies (e.g., Hadoop, Spark) and data warehousing/ETL tools.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Strong problem-solving and communication skills.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Ability to work independently and as part of a collaborative team.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Proven track record of implementing machine learning solutions and statistical analysis.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Demonstrated ability to handle customer queries and provide timely solutions.</span> </p> </li> </ul> </div> <div> <p> <span>Preferred Qualifications</span> </p> </div> <div> <ul> <li> <p> <span>Master s degree in relevant field.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Experience in development using multiple programming languages.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Knowledge of practical machine learning applications and a range of related approaches.</span> </p> </li> </ul> </div> <div> <p> <span>Core Competencies</span> </p> </div> <div> <ul> <li> <p> <span>Whole Leadership: Lead yourself and others to create a positive impact responsibly, authentically, and passionately.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Global Acumen: Collaborate with a mindset that embraces diverse perspectives and transcends boundaries.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Technical and Digital: Focus on rapidly evolving technologies and their application in digital transformation.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Business Acumen: Apply business knowledge and innovation to deliver distinctive value for clients and PwC.</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Relationships: Build genuine and meaningful high-value relationships.</span> </p> </li> </ul> </div> <div> <p> <span>Required Skills</span> </p> </div> <div> <ul> <li> <p> <span>Active Listening</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Analytical Thinking</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Business Analysis &amp; Strategy</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Business Process Consulting &amp; Improvement</span> </p> </li> </ul> </div> </div> <div> <div> <ul> <li> <p> <span>Business Transformation</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Coaching and Feedback</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Communication</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Competitive Analysis &amp; Advantage</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Conducting Research</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Consumer Behavior</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Creativity</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Customer Experience (CX) Strategy</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Customer Insight &amp; Strategy</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Data Analytics</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Embracing Change</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Emotional Regulation</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Empathy</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Go-to-Market Strategies</span> </p> </li> </ul> </div> <div> <p> <span>Optional Skills</span> </p> </div> <div> <ul> <li> <p> <span>Additional technical certifications</span> </p> </li> </ul> </div> <div> <ul> <li> <p> <span>Knowledge of emerging AI trends</span> </p> </li> </ul> </div> <div> <p> <span>If you are passionate about leveraging advanced analytics and AI to deliver innovative solutions and exceed client expectations, we encourage you to apply and become a valued member of our team.</span></p></div></div> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p></div></section>

Established in 2008, Geidea epitomizes customer focused empowerment and commercial success through continuous innovation. Geidea makes best in class digital payment solutions available for all by attracting and leveraging the best creative & entrepreneurial talent in the market Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity. Our technology mirrors our people - Smart, Innovative & Forward Thinkingwww.geidea.net<br><br>To maintain a competitive advantage as we grow, we are currently looking for a new " Senior Data Engineer"<br>.<br>Job purpose: to maintain a competitive advantage as we grow, we are looking for a highly skilled Senior Data Engineer to design, develop, and optimize scalable, secure, and high-performance data platforms across the enterprise. This role will play a key part in building and maintaining the data ecosystem that supports our Fintech services, including real-time financial transactions, credit scoring models, regulatory reporting, and customer analytics. The Senior Data Engineer will work closely with Data Architects, Software Engineers, Product Teams, and Data Analysts to develop modern data solutions leveraging Big Data technologies, Data Lakes, ELT/ETL pipelines, and Cloud Data Warehouses while ensuring reliability, security, governance, and regulatory complianc<br>e.<br>Responsibilities:Data Engineering & Platform Development Design, build, and maintain scalable data pipelines for batch and real-time data processing. Develop and optimize data ingestion frameworks from internal and external data sources. Implement and maintain data models to support analytics, reporting, and operational use cases. Collaborate with Data Architects to translate architectural designs into production-ready solutions. Big Data & Distributed Processing Develop and maintain large-scale data processing solutions using technologies such as Apache Spark, Databricks, Flink, Trino, or Presto. Build and optimize distributed data processing workloads handling high-volume financial and behavioral datasets. Work with distributed storage systems including S3, ADLS, HDFS, and related cloud-native services. Optimize data formats such as Parquet, ORC, and Avro for performance and storage efficiency. Data Lakes & Lakehouse Solutions Build and maintain Data Lake and Lakehouse environments using technologies such as Delta Lake, Apache Hudi, or Apache Iceberg. Implement data quality, partitioning, schema evolution, and lifecycle management processes. Support data governance and metadata management initiatives across all data layers. ELT/ETL Development Design, develop, and support robust ELT/ETL pipelines using tools such as Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect. Develop reusable and maintainable transformation logic using SQL, Python, or Scala. Ensure pipeline reliability through monitoring, alerting, logging, and automated recovery mechanisms. Optimize data processing performance and cost efficiency. Data Warehousing & Analytics Enablement Develop and maintain cloud-based data warehouse solutions such as Snowflake, Redshift, Big Query, or Synapse Analytics. Build and optimize dimensional models, fact tables, and data marts to support business intelligence and reporting requirements. Collaborate with analytics teams to ensure efficient access to trusted and governed data assets. Support integration with BI platforms such as Power BI, Tableau, and Looker. Security, Governance & Compliance Implement data security controls including encryption, masking, tokenization, and access management. Ensure compliance with SAMA, NCA, GDPR, and internal security policies. Support data lineage, auditing, and governance initiatives through integration with metadata and cataloging solutions. Participate in data quality and governance programs to ensure accuracy and consistency of enterprise data. Dev Ops & Observability Contribute to CI/CD pipelines and Infrastructure as Code implementations using Terraform, Cloud Formation, or similar tools. Implement monitoring and observability solutions for data pipelines and platforms. Establish and maintain SLAs, data quality checks, and operational dashboards using tools such as Grafana, Prometheus, or Datadog. Troubleshoot production issues and provide performance tuning recommendatio<br>ns.<br>Qualifications:Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.5+ years of experience in Data Engineering, with hands-on experience building and supporting production-grade data platforms. Strong experience with Big Data technologies such as Apache Spark, Databricks, Flink, or similar distributed processing frameworks. Proven experience building and maintaining Data Lakes, Lakehouse architectures, and cloud-based data platforms. Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java. Experience developing ELT/ETL pipelines using Airflow, DBT, AWS Glue, Azure Data Factory, or equivalent tools. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Experience with cloud data warehouses including Snowflake, Redshift, Big Query, or Synapse. Understanding of data governance, security, and regulatory requirements within Fintech, Banking, or highly regulated environments. Experience working with CI/CD, Infrastructure as Code, and monitoring tools is highly prefer<br>red.<br>Our values guide how we think and act - They describe what we care about the most Customer first - It’s embedded in our design thinking and customer service approach Open - Openness allows us to constantly improve and evolve Real - No jargon and no excuses! Bold - Constantly challenging ourselves and our way of thinking. Resilient – If we fail, we bounce back stronger than before. Collaborative - We know that we can achieve a lot more as a team. We are changing lives by constantly striving for a better solu<br>tion.

Established in 2008, Geidea epitomizes customer focused empowerment and commercial success through continuous innovation. Geidea makes best in class digital payment solutions available for all by attracting and leveraging the best creative & entrepreneurial talent in the market Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity. Our technology mirrors our people - Smart, Innovative & Forward Thinkingwww.geidea.net<br><br>To maintain a competitive advantage as we grow, we are currently looking for a new " Senior Data Engineer"<br>.<br>Job purpose: to maintain a competitive advantage as we grow, we are looking for a highly skilled Senior Data Engineer to design, develop, and optimize scalable, secure, and high-performance data platforms across the enterprise. This role will play a key part in building and maintaining the data ecosystem that supports our Fintech services, including real-time financial transactions, credit scoring models, regulatory reporting, and customer analytics. The Senior Data Engineer will work closely with Data Architects, Software Engineers, Product Teams, and Data Analysts to develop modern data solutions leveraging Big Data technologies, Data Lakes, ELT/ETL pipelines, and Cloud Data Warehouses while ensuring reliability, security, governance, and regulatory complianc<br>e.<br>Responsibilities:Data Engineering & Platform Development Design, build, and maintain scalable data pipelines for batch and real-time data processing. Develop and optimize data ingestion frameworks from internal and external data sources. Implement and maintain data models to support analytics, reporting, and operational use cases. Collaborate with Data Architects to translate architectural designs into production-ready solutions. Big Data & Distributed Processing Develop and maintain large-scale data processing solutions using technologies such as Apache Spark, Databricks, Flink, Trino, or Presto. Build and optimize distributed data processing workloads handling high-volume financial and behavioral datasets. Work with distributed storage systems including S3, ADLS, HDFS, and related cloud-native services. Optimize data formats such as Parquet, ORC, and Avro for performance and storage efficiency. Data Lakes & Lakehouse Solutions Build and maintain Data Lake and Lakehouse environments using technologies such as Delta Lake, Apache Hudi, or Apache Iceberg. Implement data quality, partitioning, schema evolution, and lifecycle management processes. Support data governance and metadata management initiatives across all data layers. ELT/ETL Development Design, develop, and support robust ELT/ETL pipelines using tools such as Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect. Develop reusable and maintainable transformation logic using SQL, Python, or Scala. Ensure pipeline reliability through monitoring, alerting, logging, and automated recovery mechanisms. Optimize data processing performance and cost efficiency. Data Warehousing & Analytics Enablement Develop and maintain cloud-based data warehouse solutions such as Snowflake, Redshift, Big Query, or Synapse Analytics. Build and optimize dimensional models, fact tables, and data marts to support business intelligence and reporting requirements. Collaborate with analytics teams to ensure efficient access to trusted and governed data assets. Support integration with BI platforms such as Power BI, Tableau, and Looker. Security, Governance & Compliance Implement data security controls including encryption, masking, tokenization, and access management. Ensure compliance with SAMA, NCA, GDPR, and internal security policies. Support data lineage, auditing, and governance initiatives through integration with metadata and cataloging solutions. Participate in data quality and governance programs to ensure accuracy and consistency of enterprise data. Dev Ops & Observability Contribute to CI/CD pipelines and Infrastructure as Code implementations using Terraform, Cloud Formation, or similar tools. Implement monitoring and observability solutions for data pipelines and platforms. Establish and maintain SLAs, data quality checks, and operational dashboards using tools such as Grafana, Prometheus, or Datadog. Troubleshoot production issues and provide performance tuning recommendatio<br>ns.<br>Qualifications:Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related technical field.5+ years of experience in Data Engineering, with hands-on experience building and supporting production-grade data platforms. Strong experience with Big Data technologies such as Apache Spark, Databricks, Flink, or similar distributed processing frameworks. Proven experience building and maintaining Data Lakes, Lakehouse architectures, and cloud-based data platforms. Strong proficiency in SQL and at least one programming language such as Python, Scala, or Java. Experience developing ELT/ETL pipelines using Airflow, DBT, AWS Glue, Azure Data Factory, or equivalent tools. Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Experience with cloud data warehouses including Snowflake, Redshift, Big Query, or Synapse. Understanding of data governance, security, and regulatory requirements within Fintech, Banking, or highly regulated environments. Experience working with CI/CD, Infrastructure as Code, and monitoring tools is highly prefer<br>red.<br>Our values guide how we think and act - They describe what we care about the most Customer first - It’s embedded in our design thinking and customer service approach Open - Openness allows us to constantly improve and evolve Real - No jargon and no excuses! Bold - Constantly challenging ourselves and our way of thinking. Resilient – If we fail, we bounce back stronger than before. Collaborative - We know that we can achieve a lot more as a team. We are changing lives by constantly striving for a better solu<br>tion.

<ul><li><p>implement and configure <strong>Odoo or Zoho applications</strong> based on customer requirements.</p></li><li><p>Gather and analyze business and technical requirements.</p></li><li><p>Configure workflows, modules, users, roles, permissions, and automation.</p></li><li><p>Customize Odoo modules and workflows when required.</p></li><li><p>Configure and customize Zoho applications including <strong>Zoho CRM, Books, Desk, Projects, Creator, Analytics, and other Zoho One applications</strong>.</p></li><li><p>Build integrations between Odoo/Zoho and third-party systems using APIs and webhooks.</p></li><li><p>Perform data migration, import/export, and system configuration.</p></li><li><p>Troubleshoot technical issues and provide ongoing customer support.</p></li><li><p>Conduct system testing before deployment.</p></li><li><p>Prepare technical documentation.</p></li><li><p>Train customers and internal support teams.</p></li><li><p>Coordinate with Sales and Presales teams during solution design and technical demonstrations.</p></li><li><p>Recommend improvements and automation opportunities for customers.</p></li></ul><p></p><p><strong>Requirements</strong></p><ul><li><p>Bachelor's degree in Computer Science, Information Technology, or related field.</p></li><li><p>Minimum <strong>2 years of hands-on experience</strong> with Odoo, Zoho, ERP, CRM, or Business Applications.</p></li><li><p>Practical experience with <strong>Odoo implementation and customization</strong>.</p></li><li><p>Good knowledge of <strong>Zoho CRM and Zoho One</strong> applications.</p></li><li><p>Understanding of ERP and CRM business processes.</p></li><li><p>Experience with APIs, integrations, and webhooks.</p></li><li><p>Basic knowledge of <strong>Python, SQL, XML, and REST APIs</strong> is preferred.</p></li><li><p>Ability to analyze business requirements and convert them into system solutions.</p></li><li><p>Strong troubleshooting and problem-solving skills.</p></li><li><p>Good communication skills.</p></li><li><p>Good command of English.</p></li></ul><h2>Preferred Qualifications</h2><ul><li><p>Odoo or Zoho certifications.</p></li><li><p>Experience with <strong>Zoho Creator and Deluge</strong>.</p></li><li><p>Experience developing or customizing Odoo modules.</p></li><li><p>Experience with accounting, sales, inventory, purchasing, HR, or CRM workflows.</p></li><li><p>Previous experience implementing ERP/CRM solutions for multiple customers.</p></li></ul><p></p>

<p>The Job Holder is Responsible to Builds and maintains data pipelines, ETL/ELT processes, and data integration solutions that move and transform data across the data platform to support analytics, reporting, and AI applications.</p><p><strong>Accountability</strong> Description Deliverables Pipeline Success Rate 99% Data Freshness SLA Meets agreed refresh schedule Data Quality Score 95% Pipeline Documentation 100% Incident Response 2 hours for pipeline failures</p><p><strong>Know How (applying of knowledge &amp; skills in job tasks)</strong> Description Data Pipeline Development Design, build, and maintain ETL/ELT pipelines using Azure Data Factory, Synapse, or Databricks. Integrate data from D365 ERP, POS, e-commerce, and external sources into the data warehouse. Monitor pipeline performance and resolve data failures promptly. Data Quality Implement data quality checks and validation within pipelines. Collaborate with Data Analysts and BI Developers to resolve data issues. Maintain data lineage and documentation for all pipelines.</p><p>Note: The principal accountabilities listed above are an illustrative list and not an exhaustive list. Additional responsibilities may be added from time to time depending on organizational requirements.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Minimum Qualification Bachelor degree in Computer Science, Data Engineering, or IT. Certified in Azure Data Engineer Associate preferred</li><li>Minimum Experience Minimum Experience of 3 5 years in data engineering.</li><li>Other Requirement (Skills Set) Azure Data Factory, Synapse Analytics, Databricks SQL, Python, Spark for data transformation D365 data integration: OData, Data Integrator, dual write Data quality and testing in pipelines Git and Azure DevOps for pipeline code management Arabic (Professional) English (Professional)</li></ul>

<p>&nbsp;Your impact Drive the development of advanced ASIC emulation environments to accelerate pre-silicon validation and improve time-to-market for next-generation switching systems. Build and refine emulation infrastructure using C/C++ and TCL, enabling early identification of critical issues and enabling robust silicon. Collaborate closely with design, verification, power, and diagnostic teams to implement, test, and debug complex multi-terabit systems. Develop and execute sophisticated test plans and traffic scenarios to ensure flawless system performance post-silicon. Shape the reliability and scalability of the hardware that underpins cloud and enterprise networks worldwide.</p><p><strong>Desired Candidate Profile</strong></p><h2>Minimum qualifications</h2><p>Master s degree in Electrical Engineering, Electronics Engineering, or Computer Engineering with 4+ years of relevant experience, OR Bachelor s degree in the same fields with 5+ years of relevant experience</p><p>2+ years of emulation experience on platforms such as Palladium, Veloce, or Zebu as well as experience with compilation, debug, performance testing.</p><p>Proficiency in RTL development using Verilog or System Verilog for emulation prototypes</p><p>Proficiency in C/C++ and TCL for emulation infrastructure development</p><p>Experience with system debug tools (e.g., gdb, waveform debuggers)</p><h2>Preferred qualifications</h2><p>Experience with scripting languages (e.g., Python, Perl)</p><p>Strong written and verbal communication skills</p><p>Post-silicon functional validation or debugging experience</p><p>Knowledge of protocols such as PCIe, I2C, Ethernet packet headers, and Ethernet protocol</p><p>Collaborative mindset with a drive to learn and contribute in a team environment</p>

<p>IMMEDIATE HIRE!</p><p>&nbsp;</p><p><strong>Job Responsibilities</strong></p><p>In this role, you will:</p><ul><li><p>Collaborate with teams to support clients in solving energy storage design and optimization challenges for diverse use cases.</p></li><li><p>Assist the application development team in enhancing the Energy Storage software platform to align with industry needs.</p></li><li><p>Help utility companies and energy storage developers assess lifecycle performance and ROI.</p></li><li><p>Stay updated on market trends, grid requirements, and energy market dynamics in wholesale and retail sectors.</p></li><li><p>Model emerging energy storage technologies using data from Original Equipment Manufacturers (OEMs).</p></li><li><p>Deliver detailed reports, analyses, presentations, and other client-facing materials.</p></li><li><p>Coordinate with OEMs, developers, and industry experts to manage and execute complex projects.</p></li></ul><p></p><p><strong>Requirements</strong></p><p><strong>Basic Qualifications</strong></p><ul><li><p>Bachelor’s degree in Electrical Engineering, Power Engineering, or a related field, with a strong academic record.</p></li><li><p>Experience with power system studies, including load flow, short circuit analysis, arc flash, protection, and harmonics.</p></li><li><p>Experience in renewable energy system design.</p></li><li><p>Proficiency in MATLAB programming.</p></li><li><p>Excellent command of English, both spoken and written.</p></li></ul><p>&nbsp;</p><p><strong>Preferred Qualifications</strong></p><ul><li><p><strong><em>Fresh graduates with outstanding academic records</em></strong> are encouraged to apply.</p></li><li><p>Master’s degree in electrical engineering or a related field.</p></li><li><p>Experience with Python programming (intermediate level).</p></li><li><p>Familiarity with PV modeling and simulation tools such as PVSyst.</p></li><li><p>Strong organizational, technical writing, and communication skills.</p></li><li><p>Ability to work independently and collaboratively within a project team.</p></li><li><p>Eagerness to learn and tackle new challenges.</p></li><li><p>Thrive in fast-paced environments with a proactive mindset.</p></li></ul><p>&nbsp;</p>

<p>Key Responsibilities</p><p></p><p>???? <strong>1.</strong> <strong>Automation Testing</strong></p><p>● Design and develop automated test scripts</p><p>● Build and maintain test automation frameworks</p><p>● Execute automated tests within CI/CD pipelines</p><p>● Analyze test results and generate reports</p><p>???? <strong>2. Manual Testing</strong></p><p>● Analyze system requirements (BRD / SRS)</p><p>● Design and write Test Cases &amp; Test Scenarios</p><p>● Perform manual testing (Functional / Regression / UAT Support)</p><p>● Log, track, and manage bugs</p><p>????<strong> 3. Technical Documentation</strong></p><p>● Create and maintain Test Plans, Test Cases, Test Reports and User Guides (if needed)</p><p>● Document APIs in collaboration with the development team</p><p>● Maintain clear documentation for testing and delivery processes</p><p>???? <strong>4. Delivery &amp; Handover Support</strong></p><p>● Ensure system readiness before delivery</p><p>● Participate in User Acceptance Testing (UAT) with clients</p><p>● Prepare final quality reports</p><p>● Validate acceptance criteria are fully met</p><p>???? <strong>5. Team Collaboration</strong></p><p>● Work closely with: Developers, Business Analysts and Project Managers</p><p>● Participate in Sprint Planning, Daily Standups and Retrospectives</p><p><strong>Requirements</strong></p><p><strong>Qualifications:</strong></p><p>● Bachelor’s degree in Computer Science / Information Systems / or related field</p><p>● <strong>+5 years of experience</strong></p><p>● Experience with automation tools (Selenium / Cypress / Playwright</p><p>● Proficiency in programming languages ( JavaScript / Python / Java / Php</p><p>● Solid understanding of REST APIs (Postman / Swagger) Databases (SQL)</p><p>● Experience with test management tools Jira / TestRail or similar, Testing Knowledge</p><p>● Strong understanding of Functional Testing, Regression Testing, Integration Testing and User Acceptance Testing (UAT)</p><p>● Ability to write professional and structured test cases</p><p>● Experience with BRD / SRS, Test documentation</p><p>● Ability to simplify complex technical concepts</p><p>● Experience working on ERP systems</p><p></p><p><strong>Soft Skills</strong></p><p>● Strong communication skills</p><p>● High attention to detail</p><p>● Teamwork and collaboration</p><p>● Time management and commitment to deadlines</p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>TEST MANAGER (8+ Years)</p> <p> </p> <p>Role Summary</p> <p>The Test Manager provides QA leadership and governance for AI-enabled enterprise systems, ensuring strong automation practices, consistent AI testing standards, quality delivery, and cross team coordination across all solutions.</p> <p> </p> <p>Key Responsibilities</p> <p> </p> <p>- Define and establish QA governance and automation strategy for enterprise-grade AI and digital solutions, including Agentic AI, multi-agent orchestration platforms, microservices, UI, and ERP integrations.</p> <p>- Set AI testing standards, validation frameworks, and approval guidelines across all AI agent categories</p> <p>- Govern end-to-end testing execution across complex enterprise technology stacks</p> <p>- Define and enforce AI specific testing frameworks, covering ex : Prompt safety, prompt drift, hallucination detection , Bias, fairness, compliance checks</p> <p>- Oversee voice and conversational AI testing, ensuring Speech-to-text (STT) quality and accuracy ,Sentiment analysis reliability ,Intent classification</p> <p>- Own QA metrics, capacity planning, and upskilling</p> <p>- Collaborate with Product, Architecture, and Compliance teams</p> <p> </p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p><b>Required Skills (Must Have)</b></p> <p>- Experience leading automation-heavy QA teams</p> <p>- Strong understanding of Java/Python-based automation frameworks</p> <p>- Selenium ecosystem and CI/CD governance</p> <p>- Hands-on exposure to AI testing tools (e.g., Testsigma, Testim ) for evaluation and governance</p> <p>- Minimum of 2-3 years of hands on experience with GenAI and Agentic AI solutions across production, client facing, or enterprise systems, including ownership of quality oversight and governance.</p> <p> </p> <p> </p> <p>Good to Have</p> <p>- Good ERP / Accounts Payable knowledge (e.g., Oracle ERP, SAP)</p> <p>- ISTQB certification</p> <p> </p> <p> </p> <p> <u> <strong>Job Special Requirements</strong> </u> </p> <p> <strong> Fluency in English is a must.</strong> </p> <p> </p> <p> </p><p></p></section>