Python Developer Jobs in Egypt

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

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Siemens Digital Industries Software is a global technology powerhouse. With some of the best-known brands in the world, Siemens has stood for engineering excellence, innovation, quality, and reliability for more than 175 years. We are looking a QA/Test Engineer to join our team in Cairo, Egypt. Main Responsibilities: Master functional verification technologies. Write, maintain, and execute product test and quality plans. Create, execute, and summarize test cases and their status. Participate in various product testing activities throughout the release life cycle. Build test automation frameworks to eliminate manual testing rework and reduce testing turnaround time. Understand customer use cases and support the integration of customer designs into our test environments. Perform product benchmarking and performance measurement iterations to capture tool performance data between releases. Report, validate, and triage defects to identify the root cause of issues and define their criticality for the R&amp;D groups. Utilize code coverage techniques and tools to quantitatively evaluate product test coverage. Required Skills, Knowledge, and Experience: B.Sc./M.Sc. in Electrical Engineering, Computer Engineering, or a related field. Very good knowledge of digital/RTL design fundamentals. Solid knowledge of hardware description languages such as Verilog, VHDL, and SystemVerilog. Prior knowledge of Siemens tools, such as simulation tools and functional verification flows, is a strong plus. Familiarity with scripting languages such as Perl and Python. Strong communication skills, including the ability to present ideas and share knowledge effectively with others. We’re Siemens. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme and generous holiday allowance. Siemens is an equal opportunities employer and do not discriminate unlawfully on any grounds. We are committed to providing access and equal opportunity. #LI-EDA #LI-Hybrid</span> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>ABOUT WFP The World Food Programme is the world s largest humanitarian organization saving lives in emergencies and using food assistance to build a pathway to peace, stability and prosperity, for people recovering from conflict, disasters and the impact of climate change. At WFP, people are at the heart of everything we do and the vision of the future WFP workforce is one of diverse, committed, skilled, and high performing teams, selected on merit, operating in a healthy and inclusive work environment, living WFP's values (Integrity, Collaboration, Commitment, Humanity, and Inclusion) and working with partners to save and change the lives of those WFP serves. To learn more about WFP, visit our website: https://www.wfp.org and follow us on social media to keep up with our latest news: YouTube , LinkedIn , Instagram , Facebook , Twitter , TikTok . WHY JOIN WFP? WFP is a 2020 Nobel Peace Prize Laureate. WFP offers a highly inclusive, diverse, and multicultural working environment. WFP invests in the personal &amp; professional development of its employees through a range of training, accreditation, coaching, mentorship, and other programs as well as through internal mobility opportunities. A career path in WFP provides an exciting opportunity to work across the various country, regional and global offices around the world, and with passionate colleagues who work tirelessly to ensure that effective humanitarian assistance reaches millions of people across the globe. We offer an attractive compensation package (please refer to the Terms and Conditions section of this vacancy announcement). Contract type: Volunteer - Unpaid Age required: Minimum 18 years old Duration of contract : 10 weeks JOB TITLE: Data Analyst Volunteer UNIT/DIVISION: Data &amp; AI / Technology Division DUTY STATION (City, Country): Cairo, Egypt BACKGROUND AND PURPOSE OF THE ASSIGNMENT: The Data &amp; AI team in the Technology Division is seeking a motivated undergraduate intern to support data analysis activities across global AI and analytics projects at WFP. This internship offers practical experience in working with real-world datasets to support data cleaning, transformation, modelling, and visualization tasks. Under the direct supervision of the Lead Data Scientist, the intern will contribute to analytical workflows, help prepare data for reporting and decision-making, and support the development of Tableau dashboards and other data products. ACCOUNTABILITIES/RESPONSIBILITIES: 1. Support the Data &amp; AI team in cleaning, validating, and organizing datasets for analysis and reporting. 2. Assist with data transformation and preparation processes to ensure datasets are accurate, structured, and ready for downstream use. 3. Contribute to analytical modelling and exploratory analysis to identify trends, patterns, and insights relevant to business and operational needs. 4. Develop and update data visualizations and dashboards in Tableau to communicate key findings clearly and effectively. 5. Prepare documentation and summaries of analytical methods, outputs, and dashboard updates, and collaborate with team members under the supervision of the Lead Data Scientist. DELIVERABLES AT THE END OF THE CONTRACT: 1. Cleaned and transformed datasets, analytical outputs, or supporting models produced during the internship, as applicable. 2. At least one Tableau dashboard, visualization, or end-of-internship presentation summarizing the work completed, insights generated, and recommendations. QUALIFICATIONS &amp; EXPERIENCE REQUIRED: Education: Currently enrolled in an undergraduate programme in Data Science, Computer Science, Statistics, Information Systems, Business Analytics, or a related quantitative field. Knowledge &amp; Skills: Required: hands-on experience with Tableau and strong understanding of data cleaning, data transformation, data modelling, and visualization principles. Preferred: working knowledge of Python. Strong analytical thinking, attention to detail, and ability to communicate insights clearly are essential. Languages : Fluency in English is required. Knowledge of another UN language is an advantage.&nbsp;</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Currently enrolled in an undergraduate programme in Data Science, Computer Science, Statistics, Information Systems, Business Analytics, or a related quantitative field.</p><p>Required: hands-on experience with Tableau and strong understanding of data cleaning, data transformation, data modelling, and visualization principles. Preferred: working knowledge of Python. Strong analytical thinking, attention to detail, and ability to communicate insights clearly are essential.</p><p>Fluency in English is required. Knowledge of another UN language is an advantage.</p><p></p></section>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Join Us</b> <br></span><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><br><br><br><b>What you’ll do</b> <br><ul> <li><span>Analyze data across digital platforms (web, mobile app, e-shop) to generate meaningful insights that support decision-making.</span></li> <li><span>Develop and maintain reports and dashboards using BI tools and AWS analytics services (e.g., Athena, QuickSight).</span></li> <li><span>Build scalable and well-structured data models using dimensional modeling techniques like star schema.</span></li> <li><span>Maintain our ETL pipelines. </span></li> <li><span>Collaborate with cross-functional teams to define reporting requirements and ensure accurate data collection.</span></li> <li><span>Perform in-depth analysis of digital funnel performance and customer behavior to support marketing and sales strategies.</span></li> <li><span>Ensure new digital initiatives include proper data tagging and tracking for comprehensive analytics coverage.</span></li> <li><span>Contributes to the overall improvement of data quality, structure, and governance.</span></li> </ul> <br><br><b>Who you are</b> <br><ul> <li><span>Experience: 6–8 years in a data analytics or business intelligence role.</span></li> <li><span>Technical Skills:</span><ul> <li><span>Proficient in SQL for querying and manipulating large datasets.</span></li> <li><span>Comfortable with Python &amp; Pyspark for data processing and automation.</span></li> <li><span>Solid understanding of data modeling concepts, including star schema.</span></li> <li><span>Hands-on experience with AWS analytics services such as Athena and QuickSight.</span></li> <li><span>Familiarity with BI tools (e.g., Tableau, Power BI, QuickSight).</span></li> </ul></li> <li><span>Nice to Have:</span><ul> <li><span>Knowledge of tag management systems (e.g., Tealium).</span></li> <li><span>Familiarity with ETL processes and tools.</span></li> <li><span>Awareness of digital analytics best practice.</span></li> </ul></li> </ul><br><br><b>Who we are</b> <br><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><br> <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><br> <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 refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><br> <p>Together we can.</p><br><br><br><br> </div>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Senior Cloud Engineer<p>About the Role</p><br><p>We are looking for a Senior Cloud Engineer to design, build, and operate scalable, secure, and highly available cloud infrastructure. You will play a key role in shaping our cloud architecture, automating infrastructure delivery, and improving the reliability and efficiency of our systems. This role is ideal for an experienced engineer who is passionate about infrastructure-as-code, container orchestration, and building robust delivery pipelines.</p><br><p>What You'll Do</p><br><p>- Design, implement, and maintain scalable and secure infrastructure on AWS</p><br><p>- Build and manage infrastructure-as-code using Terraform, ensuring consistent, repeatable, and version-controlled deployments</p><br><p>- Deploy, operate, and scale containerized workloads using Kubernetes</p><br><p>- Design and maintain robust CI/CD pipelines to enable fast, reliable, and safe software delivery</p><br><p>- Monitor system health, performance, and cost, and proactively identify areas for optimization</p><br><p>- Implement infrastructure security best practices, including IAM policies, network segmentation, and secrets management</p><br><p>- Collaborate with software engineering teams to support application deployment needs and troubleshoot infrastructure-related issues</p><br><p>- Participate in on-call rotation and incident response, driving root-cause analysis and long-term fixes</p><br><p>- Document infrastructure architecture, runbooks, and operational procedures</p><br><p>- Evaluate new tools, services, and practices to continuously improve the reliability and efficiency of the cloud platform</p><br><p>- Mentor other engineers on cloud best practices and infrastructure-as-code standards</p><br><p>What We're Looking For</p><br><p>- 5+ years of professional experience in cloud infrastructure, DevOps, or platform engineering</p><br><p>- Strong hands-on experience with AWS (EC2, VPC, IAM, S3, RDS, Lambda, EKS, etc.)</p><br><p>- Proven experience writing and maintaining infrastructure-as-code with Terraform</p><br><p>- Solid experience deploying and managing workloads on Kubernetes (EKS or self-managed)</p><br><p>- Strong experience designing and maintaining CI/CD pipelines (e.g., GitHub Actions, GitLab CI, Jenkins, CircleCI, or similar)</p><br><p>- Experience with containerization tools (Docker) and container registries</p><br><p>- Understanding of networking fundamentals (VPCs, subnets, load balancing, DNS, security groups)</p><br><p>- Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, Datadog, or similar)</p><br><p>- Strong scripting skills (Python, Bash, or Go)</p><br><p>- Excellent troubleshooting skills and ability to operate effectively in production incident scenarios</p><br><p>- Strong communication skills and ability to collaborate across engineering teams</p><br><p>Nice to Have</p><br><p>- AWS certifications (Solutions Architect, DevOps Engineer, or SysOps Administrator)</p><br><p>- Experience with GitOps tools (ArgoCD, Flux)</p><br><p>- Experience with service mesh technologies (Istio, Linkerd)</p><br><p>- Familiarity with multi-account AWS architectures and AWS Organizations</p><br><p>- Experience with cost optimization / FinOps practices</p><br><p>- Exposure to compliance frameworks (SOC 2, HIPAA, PCI-DSS)</p><br><p>Qualifications</p><br><p>- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience)</p><br> </div>

<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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>As an Account Representative at TJM Labs, you’ll act as the technical liaison between our internal platform team and our pharmacy clients.<br> This role combines client relationship management with technical implementation and support.<br> You’ll help deploy automation solutions in client environments, guide users through implementation, troubleshoot production issues, and ensure clients feel supported throughout the lifecycle of the relationship.<br> We’ll provide training on our products and U.<br>S. pharmacy workflows.<br> What we need from you is strong technical troubleshooting ability, excellent communication skills, and confidence working directly with clients in a fast-moving operational environment.<br> What You’ll Do Serve as the primary technical point of contact for assigned client accounts Coordinate and support remote deployment of automation solutions in client environments Configure environments, credentials, permissions, and connectivity settings required for implementation Guide pharmacy clients through deployment, validation, onboarding, and handoff via screen-share and live support sessions Monitor production automation activity, queue health, scheduled jobs, and execution performance Troubleshoot issues by reviewing logs, identifying root causes, restarting services, or escalating engineering issues when needed Maintain strong ongoing client relationships through responsive communication and issue resolution Document implementations, recurring issues, troubleshooting steps, and client-specific operational notes Escalate platform or engineering concerns with clear reproduction details and supporting logs Participate in an on-call rotation for after-hours and weekend support coverage Coordinate issue handoff across time zones with U.<br>S.-based teammates $10 USD/hour Remote-First Environment Paid Time Off What We’re Looking For 2–4 years of experience in technical account management, IT support, technical operations, customer success, or systems administration Strong troubleshooting and problem-solving skills with the ability to work backward from symptoms to root cause Experience supporting Windows desktop/server environments, scheduled tasks, services, or networking fundamentals Excellent written and verbal English communication skills Comfortable leading screen-share sessions and speaking directly with U.<br>S.-based clients Strong organizational skills with the ability to manage multiple client issues simultaneously Reliable home office setup with stable internet and power for remote support work Willingness to participate in an on-call rotation, including occasional weekend coverage Nice to Have Experience with RPA or automation platforms (UiPath, Automation Anywhere, Blue Prism, Power Automate, etc.<br>) Prior experience in a client-facing technical support or technical account role Familiarity with remote support tools (TeamViewer, AnyDesk, ScreenConnect, RDP) Scripting experience in PowerShell, Python, or similar Exposure to ticketing systems such as Jira Service Management, ServiceNow, or Zendesk Basic SQL knowledge for troubleshooting data or automation outputs Experience in healthcare, pharmacy, or regulated operational environments</span> </div>

<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.

<p>At ISYS, we re growing our team and looking for a talented Watson AI Engineer with proven experience in IBM Watson Assistant and Watson Discovery. As we continue to scale up our operations, we need professionals who can design, implement, and customize AI-driven solutions for virtual assistants and intelligent search.</p><p><b><br></b></p><p><b>Key Responsibilities:</b></p><ul><li>Design, develop, and deploy conversational AI solutions using IBM Watson Assistant to deliver seamless user experiences.</li><li>Implement and customize IBM Watson Discovery for intelligent document insights, search capabilities, and content analysis.</li><li>Train, fine-tune, and optimize AI models to enhance Natural Language Understanding (NLU) accuracy and performance.</li><li>Integrate Watson Assistant and Discovery with third-party applications, APIs, and backend systems.</li><li>Lead Proof of Concepts (POCs), conduct product demos, and present AI capabilities to clients.</li><li>Collaborate with stakeholders to gather requirements and develop tailored AI solutions to meet business needs.</li><li>Provide technical support during implementation to ensure smooth deployment and client satisfaction.</li><li>Document processes, workflows, and best practices for AI implementation and handovers.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Proven hands-on experience with IBM Watson Assistant and Watson Discovery.</li><li>Strong understanding of conversational AI, NLP (Natural Language Processing), and AI solution workflows.</li><li>Proficiency in Python or similar programming languages for customization and integration.</li><li>Experience with REST APIs, JSON, and cloud platforms such as IBM Cloud, AWS, or Azure.</li><li>Demonstrated ability to develop and optimize AI models for real-world applications.</li><li>Experience conducting POCs, client-facing demos, and solution presentations.</li><li>Strong analytical, problem-solving, and communication skills.</li></ul>

<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>We are seeking skilled Service Delivery Engineer to lead the Database practice specialized in AWS. As an experienced SDE you will be responsible for implementing and delivering cloud solutions for our clients. You will be responsible for translating the requirements, as defined in the Statement of Work, into a functioning solution Assist in the design, configuration, implementation, and support of database solutions on AWS</p><p>Providing Level 2 and Level 3 support on database related operational and configuration issues</p><p>Develop, define, and maintain standards and supporting documentation while adhering to best practices</p><p>Work both independently and collaboratively with other Zero&amp;One and client team members when required</p><p>Demonstrate strong problem-solving skills, excellent judgement, and possess a passion for continuous learning</p><p>Deliver innovative solutions in diverse environment with shifting priorities, wearing many hats all while driving projects and tasks to completion</p><p>Transition existing workloads to the cloud where possible</p><p>Research emerging technologies and concepts and make recommendations</p><p><strong>Desired Candidate Profile</strong></p><ul><li>At least 7+ years of experience in designing and maintaining databases (relational and non-relational)</li><li>Experience of relational database operations (locking, consistency, serialization, recovery paths etc )</li><li>Knowledge of scripting languages such as shell/python and procedural language such as PL/SQL, T-SQL etc )</li><li>Experience working with MySQL, Postgres, SQL, Oracle, DynamoDB, Aurora DBs</li><li>Database tuning</li><li>Creating clusters and sharding</li><li>Preferable to have experience in MongoDB Atlas</li><li>Required certifications: AWS Database Specialty</li><li>Desirable certifications</li></ul>

<p>We are seeking skilled Service Delivery Engineer specialized in AWS. As an experienced SDE you will be responsible for implementing and delivering cloud solutions for our clients. You will be responsible for translating the requirements, as defined in the Statement of Work, into a functioning solution. Assist in the design, configuration, implementation, and support of Microsoft based solutions on AWS. Develop, define, and maintain standards and supporting documentation while adhering to best practices. Work both independently and collaboratively with other Zero&amp;One and client team members when required. Demonstrate strong problem-solving skills, excellent judgement, and possess a passion for continuous learning. Deliver innovative solutions in diverse environment with shifting priorities, wearing many hats all while driving projects and tasks to completion. Transition existing workloads to the cloud where possible. Research emerging technologies and concepts and make recommendations.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>At least 5 years of experience in designing and implementing solutions in AWS</li><li>At least 2 years of experience working with Microsoft Azure and Microsoft 365 in a hybrid environment</li><li>Azure AD, storage, and compute including Storage Account, Virtual Machines, Virtual Desktop, Backup, Automation, and Functions</li><li>Azure identity management including SSO (SAML), OAuth, MFA, RBAC, PIM, conditional access, monitoring / alerting, device registration, identity protection, and hybrid identity management / AD connect</li><li>Familiarity with Microsoft migrations onto AWS</li><li>Knowledge of networking, routing, and firewall concepts</li><li>Scripting abilities (PowerShell, Python, etc.)</li><li>Azure and AWS certifications are a plus</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>