Python Developer Jobs in Egypt

<p>Who we are VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation. As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. #VOIS #BeUnrivalled #CreateTheFuture About this Role We are seeking a Backend AI Automation Engineer to design and deliver next-generation automation solutions enhanced by Artificial Intelligence and Generative AI. This role focuses on building Python-driven, cloud-native automation systems, integrating Large Language Models (LLMs), APIs, and enterprise platforms to solve complex business challenges at scale. The successful candidate will contribute to automation architecture, accelerate AI adoption, and ensure solutions are secure, resilient, scalable, and production-ready. What you ll do Architect, develop, and optimise Python-based backend solutions with a strong focus on scalability, reliability, and maintainability. Design and implement AI-enabled automation solutions that combine traditional automation approaches with Generative AI and LLM capabilities. Build, secure, and maintain reusable APIs to support seamless integration across enterprise platforms and business systems. Collaborate with local market AI developers and cross-functional stakeholders to create effective AI-driven automation architectures. Apply robust system design principles to deliver modular, scalable, and sustainable solutions. Leverage enterprise automation and orchestration tools to automate workflows and integrate AI capabilities into business processes. Provide technical guidance and mentorship to team members while promoting engineering best practices. Evaluate and adopt emerging technologies, contributing to innovation initiatives and technical roadmaps across AI, cloud, and automation domains. What skills you will learn Advanced AI and Generative AI solution design and implementation. Enterprise-scale LLM integration, optimisation, and governance practices. Cloud-native architecture patterns across AWS and GCP environments. API-first design principles and enterprise integration strategies. End-to-end automation architecture and workflow orchestration techniques. Scalable backend engineering, system reliability, and platform design best practices. Technical leadership, stakeholder management, and innovation planning skills. VOIS Equal Opportunity Employer Commitment Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.&nbsp;</p><p><strong>Desired Candidate Profile</strong></p><p>Who you are Experienced in Python development with 3 to 6 years of hands-on experience building automation solutions and AI-enabled services. Skilled in working with Large Language Models (LLMs), prompt engineering, model fine-tuning, and inference optimisation. Proficient in designing, building, and integrating APIs within enterprise and cloud environments. Experienced in developing cloud-native applications using AWS and/or Google Cloud Platform (GCP). Strong knowledge of modern Python frameworks such as FastAPI and LangChain. Solid understanding of cloud architecture, distributed systems, scalability, and software design patterns. Experience with automation and orchestration platforms is advantageous. Skilled at communicating effectively with both technical and non-technical stakeholders. Demonstrated ability to solve complex problems through collaborative and innovative approaches. Experience supporting, mentoring, or guiding other engineers and contributing to technical initiatives is highly valued. Not a perfect fit? 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>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p>Project description DXC-Luxoft is an industry-leading software integrator and solution house for automotive OEMs and suppliers. There are millions of cars on the road today with solutions designed by DXC-Luxoft. DXC-Luxoft is currently supporting several German OEMs in building their next-generation battery-electric vehicle platforms. We help industrializing, integrating and testing the platform and functional software, especially during critical integration phases approaching start-of-production. For expanding our business offering in the European market, we seek to establish experienced automotive engineers. DXC-Luxoft is happy to receive applications from self-motivated and self-disciplined applicants who communicate well, like to work in teams, and are highly motivated to bring value to our automotive customers. For the successful candidate we offer the opportunity to enhance and develop your career with the following benefits: Join a highly competent and motivated international team Apply your talent into creating the mobility solutions of the future Gain hands-on experience working with well-recognized customers Personal growth and promotion options Make an impact on the overall growth of DXC-Luxoft Our interesting project connected with cutting edge automotive technologies. Responsibilities Demonstrate proficiency in at least one programming language commonly used for automation testing, such as Python, Java, or JavaScript. Utilize popular API testing frameworks, including Postman, Gauge, or RobotFramework. Apply knowledge of version control systems, particularly Git. Understand CI/CD pipelines and associated tools like Jenkins or GitLab CI. Possess basic database knowledge, including SQL and NoSQL, for backend API interaction. Apply solid understanding of API testing principles, methodologies, and best practices. Design comprehensive and well-structured test cases. Develop, design, and execute automated test scripts effectively. Manage test data generation, maintenance, and organization. Identify, report, and track defects accurately. Communicate clearly with development teams and stakeholders, demonstrating strong written and verbal skills. Collaborate effectively within a team, showing attention to detail, problem-solving abilities, and a willingness to learn new technologies. Skills Must have Backend testing, Python, API Testing, Test Automation Nice to have Testing, System Testing, Test design, Manual Testing; Security testing Other Languages English: B2 Upper Intermediate Seniority Senior</p><br> </div>

<p>Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows for real-world applications. In this role, you'll apply your expertise in web scraping, data extraction, and data processing to deliver accurate, reliable, and high-quality results. This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.</p><p>The Mindrift platform connects specialists with innovative technology projects. Our mission is to help develop high-quality AI technologies by combining real-world expertise from professionals across the globe with advanced AI development efforts.</p><p>This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing tools such as Apify, OpenRouter, and other technologies, alongside your own technical expertise and approaches.</p><p>Key Responsibilities</p><ul><li>Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.</li><li>Leverage available tools and custom workflows to accelerate data collection, validation, and task execution while meeting defined requirement.</li><li>Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.</li><li>Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.</li><li>Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.</li></ul><p>Technical Skills (Essential)</p><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><p>Additional requirements</p><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li></ul><p>A link to GitHub is a plus</p><p>English proficiency: Upper-intermediate (B2) or above (required)</p><p>Project time expectations</p><p>For this project, tasks are estimated to require around 10 20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p><p>Compensation</p><p>On this project, contributors can earn up to $25 per hour equivalent , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p><p><strong>Desired Candidate Profile</strong></p><h2>Educational qualifications</h2><p>At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required). Bachelor s or Master s Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.</p><h2>Academic and/or Professional Experience</h2><p>Candidates should have a strong technical foundation and practical experience with scripting, automation, and data extraction workflows. We are looking for specialists who can solve non-trivial problems, work confidently with modern development tools and technologies, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.</p><h2>Technical Skills (Essential)</h2><ul><li>Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies</li><li>Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)</li><li>Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)</li></ul><h2>Additional requirements</h2><ul><li>Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale</li><li>Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows</li><li>Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks</li><li>Strong attention to detail and commitment to data accuracy</li><li>Self-directed work ethic with ability to troubleshoot independently</li></ul><p>A link to GitHub is a plus</p><p>English proficiency: Upper-intermediate (B2) or above (required)</p>

About Turing:Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:We are hiring for a PAA-based project, seeking candidates with strong hands-on experience in CAD modeling and simulation tools. This role is ideal for experienced aerospace, mechanical and electrical engineering professionals with deep expertise in design, CAD engineering, and simulation workflows.<br>Key Responsibilities:Develop CAD models and perform simulation/analysis for aero, mech and elec components Validate designs using industry-standard tools (e.g., CATIA, Solid Works, ANSYS, MATLAB) Translate technical requirements into simulation models and workflows Optimize designs based on simulation results Collaborate with cross-functional engineering teams Document methodologies, processes, and outcomes<br>Key Requirements:Strong proficiency in CAD engineering and simulation tools Candidates must have a minimum of 10+ years of experience working in CAD engineering and simulation-focused organizations Strong aerospace/mechanical/electrical engineering fundamentals Hands-on experience with modeling, simulation, or design projects Analytical mindset with strong problem-solving skills Ability to work independently in a fast-paced environment Proficiency in the following tools as per their domain: - Mechanical: Free CAD, Calculi X, Gmsh, Para View, Python, Cura/Prusa Slicer - Electrical: KiCad, ngspice, Qucs-S, Python, Octave, FEMM, open EMS - Aerospace: Open Rocket, Open VSP, XFoil, AVL, Open FOAM/SU2, Free CAD, Python<br>Preferred Qualifications:PHD in Mech, Elec, Aero domains Prior experience working with leading aerospace or engineering companies is highly preferred<br>Offer Details:Commitments Required: Minimum 20hrs/week (Upto 40 hours per week) with at least 4 hours PST overlap Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 8 weeks; [expected start date is next week]

About Turing:Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:We are hiring for a PAA-based project, seeking candidates with strong hands-on experience in CAD modeling and simulation tools. This role is ideal for experienced aerospace, mechanical and electrical engineering professionals with deep expertise in design, CAD engineering, and simulation workflows.<br>Key Responsibilities:Develop CAD models and perform simulation/analysis for aero, mech and elec components Validate designs using industry-standard tools (e.g., CATIA, Solid Works, ANSYS, MATLAB) Translate technical requirements into simulation models and workflows Optimize designs based on simulation results Collaborate with cross-functional engineering teams Document methodologies, processes, and outcomes<br>Key Requirements:Strong proficiency in CAD engineering and simulation tools Candidates must have a minimum of 10+ years of experience working in CAD engineering and simulation-focused organizations Strong aerospace/mechanical/electrical engineering fundamentals Hands-on experience with modeling, simulation, or design projects Analytical mindset with strong problem-solving skills Ability to work independently in a fast-paced environment Proficiency in the following tools as per their domain: - Mechanical: Free CAD, Calculi X, Gmsh, Para View, Python, Cura/Prusa Slicer - Electrical: KiCad, ngspice, Qucs-S, Python, Octave, FEMM, open EMS - Aerospace: Open Rocket, Open VSP, XFoil, AVL, Open FOAM/SU2, Free CAD, Python<br>Preferred Qualifications:PHD in Mech, Elec, Aero domains Prior experience working with leading aerospace or engineering companies is highly preferred<br>Offer Details:Commitments Required: Minimum 20hrs/week (Upto 40 hours per week) with at least 4 hours PST overlap Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 8 weeks; [expected start date is next week]

About Valify Solutions<br>Valify is a leading Reg Tech company specializing in digital identity verification and compliance automation. We enable financial institutions, fintechs, and large enterprises to securely onboard customers, mitigate risk, and comply with evolving regulatory standards through advanced AI-powered solutions. As we continue to expand across the region, we are seeking a skilled and driven Marketing Specialist to join our team and support our growth initiatives.<br><br>Role Overview:<br>Are you a technical problem solver with a passion for building strong customer relationships? Do you thrive in a fast-paced environment where you can wear multiple hats? If so, our Technical Customer Success Engineer role at Valify might be the perfect fit for you! In this role, you will play a pivotal role in the onboarding, support, and success of our customer accounts, ensuring they derive maximum value from our solutions.<br><br>Key Responsibilities:<br>Customer Engagement:Act as a trusted advisor to a portfolio of customer accounts, guiding them through onboarding, technical support, and ongoing success initiatives. Collaborate closely with the sales team to provide technical expertise during Proof-of-Concepts (POCs) and ensure successful customer adoption of Valify solutions. Technical Expertise:Develop and customize Python scripts and API integrations tailored to meet specific customer requirements, enhancing service flexibility and functionality. Lead the deployment and integration of Valify services across various environments (Cloud, On-premise), ensuring seamless implementation and optimal performance. Data Analysis and Documentation:Conduct data analysis for assigned accounts to identify trends, opportunities for improvement, and ensure alignment with customer success metrics (e.g., NPS, CSAT). Create custom documentation and clear flowcharts to document customer environments, use cases, and solution configurations.<br><br>Requirements:<br>Bachelor’s degree in Computer Science, Engineering, or related technical field.5-8 years of experience in a customer success or technical account management role, preferably in a technology or Saa S company. Proficiency in Python scripting, API integrations, and cloud technologies (AWS, Azure). Strong analytical skills with experience in data analysis, spreadsheet management. Excellent communication and interpersonal skills, with a proven ability to build and maintain strong customer relationships. Experience with technical documentation and flowchart creation is a plus.

About Turing:Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:We are hiring for a PAA-based project, seeking candidates with strong hands-on experience in CAD modeling and simulation tools. This role is ideal for experienced aerospace, mechanical and electrical engineering professionals with deep expertise in design, CAD engineering, and simulation workflows.<br>Key Responsibilities:Develop CAD models and perform simulation/analysis for aero, mech and elec components Validate designs using industry-standard tools (e.g., CATIA, Solid Works, ANSYS, MATLAB) Translate technical requirements into simulation models and workflows Optimize designs based on simulation results Collaborate with cross-functional engineering teams Document methodologies, processes, and outcomes<br>Key Requirements:Strong proficiency in CAD engineering and simulation tools Candidates must have a minimum of 10+ years of experience working in CAD engineering and simulation-focused organizations Strong aerospace/mechanical/electrical engineering fundamentals Hands-on experience with modeling, simulation, or design projects Analytical mindset with strong problem-solving skills Ability to work independently in a fast-paced environment Proficiency in the following tools as per their domain: - Mechanical: Free CAD, Calculi X, Gmsh, Para View, Python, Cura/Prusa Slicer - Electrical: KiCad, ngspice, Qucs-S, Python, Octave, FEMM, open EMS - Aerospace: Open Rocket, Open VSP, XFoil, AVL, Open FOAM/SU2, Free CAD, Python<br>Preferred Qualifications:PHD in Mech, Elec, Aero domains Prior experience working with leading aerospace or engineering companies is highly preferred<br>Offer Details:Commitments Required: Minimum 20hrs/week (Upto 40 hours per week) with at least 4 hours PST overlap Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 8 weeks; [expected start date is next week]

About Turing:Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.<br>Role Overview:We are hiring for a PAA-based project, seeking candidates with strong hands-on experience in CAD modeling and simulation tools. This role is ideal for experienced aerospace, mechanical and electrical engineering professionals with deep expertise in design, CAD engineering, and simulation workflows.<br>Key Responsibilities:Develop CAD models and perform simulation/analysis for aero, mech and elec components Validate designs using industry-standard tools (e.g., CATIA, Solid Works, ANSYS, MATLAB) Translate technical requirements into simulation models and workflows Optimize designs based on simulation results Collaborate with cross-functional engineering teams Document methodologies, processes, and outcomes<br>Key Requirements:Strong proficiency in CAD engineering and simulation tools Candidates must have a minimum of 10+ years of experience working in CAD engineering and simulation-focused organizations Strong aerospace/mechanical/electrical engineering fundamentals Hands-on experience with modeling, simulation, or design projects Analytical mindset with strong problem-solving skills Ability to work independently in a fast-paced environment Proficiency in the following tools as per their domain: - Mechanical: Free CAD, Calculi X, Gmsh, Para View, Python, Cura/Prusa Slicer - Electrical: KiCad, ngspice, Qucs-S, Python, Octave, FEMM, open EMS - Aerospace: Open Rocket, Open VSP, XFoil, AVL, Open FOAM/SU2, Free CAD, Python<br>Preferred Qualifications:PHD in Mech, Elec, Aero domains Prior experience working with leading aerospace or engineering companies is highly preferred<br>Offer Details:Commitments Required: Minimum 20hrs/week (Upto 40 hours per week) with at least 4 hours PST overlap Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 8 weeks; [expected start date is next week]

Model Development: Assist in designing, training, and fine-tuning machine learning models using Python and modern ML frameworks Data Pipeline Maintenance: Help clean, preprocess, and analyze large datasets to ensure high-quality training inputs for our models Performance Evaluation: Conduct experiments to evaluate model accuracy, precision, and recall; document findings and iterate based on performance metrics Research & Implementation: Stay up-to-date with the latest developments in AI/ML and explore how they can be applied to solve specific fintech problems Collaborative Deployment: Work with the engineering team to integrate model prototypes into our production environment<br><br>Requirements<br><br>Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field Technical Toolkit: Proficiency in Python (specifically libraries like Pandas, Num Py, Scikit-Learn, PyTorch, or Tensor Flow). Back-end or full-stack knowledge Statistical Foundation: A solid understanding of machine learning algorithms, statistics, and linear algebra Data Fluent: Comfortable working with SQL to query and manipulate large datasets Curious & Persistent: You love debugging complex issues and are comfortable with the iterative nature of ML model building<br><br>Nice to have <br><br>Experience with cloud platforms (AWS, GCP, or Azure) and machine learning services (e.g., Sage Maker, Vertex AI) Exposure to LLM and Gen AIPrevious experience or passion projects in the fintech space (e.g., building a sentiment analysis tool for markets, or a personal expense classifier) Familiarity with version control systems like Git<br><br>Benefits<br><br>???? Inspiring Office Environment<br><br>When you come to the mylo office, you'll find creative workspaces, an open design that encourages team collaboration, and a well-equipped kitchen for your daily coffee breaks or snack moments.<br><br>????‍???? Learn from the Best<br><br>You'll be surrounded by experienced, passionate tech professionals who are ready to guide you. You'll learn fast, grow even faster, and gain real-world exposure that will help you take confident steps in your career.<br><br>???? Real Impact<br><br>This isn't a "watch-and-learn" kind of internship. You'll be working on real projects, solving actual problems, and making a difference — from day one.

<p>Work directly with a leading AI research lab on real-world software engineering problems.</p><ul><li><p>Evaluate AI-generated code for correctness, efficiency, and maintainability.</p></li><li><p>Design challenging engineering problems and test cases that probe model reasoning.</p></li><li><p>Review model output step by step and document where and why it fails.</p></li><li><p>Help push model performance on production-grade software tasks.</p></li></ul><p>Compensation: $245 - $280 per hour</p><p>Location: Fully remote, work from anywhere</p><p>Type: Flexible contract, not a full-time position</p><p><br></p><ul><li><p>5+ years of professional software engineering experience at a strong engineering organisation.</p></li><li><p>Deep expertise in system design, code review, and debugging complex issues.</p></li><li><p>Solid grounding in algorithms, data structures, and software architecture.</p></li><li><p>Production experience in Python, Java, Go, Rust, C++ or TypeScript.</p></li><li><p>No prior AI or machine learning experience required. Your engineering judgement is what matters.</p></li></ul><p>Bachelor's degree in Computer Science or equivalent practical experience.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.</li><li>Minimum of 5-7 years of professional software development experience, demonstrating a strong track record of delivering complex projects.</li><li>Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript, Go) and its associated ecosystem.</li><li>Deep understanding of data structures, algorithms, and object-oriented design principles.</li></ul>

<p>Requirements</p><ul><li>3+ years of professional experience in a DevOps, Site Reliability Engineering, or Platform Engineering role.</li><li>Strong hands-on experience with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, or equivalent).</li><li>Proficiency with Kubernetes u2014 cluster management, networking, storage, RBAC, and troubleshooting.</li><li>Experience with at least one major cloud platform: AWS, GCP, or Azure.</li><li>Solid experience with Infrastructure-as-Code tools: Terraform, CloudFormation, or Pulumi.</li><li>Proficiency in scripting languages: Bash, Python, or Go.</li><li>Working knowledge of containerization with Docker and container security best practices.</li><li>Familiarity with monitoring and observability tools (Prometheus, Grafana, Datadog, or similar).</li><li>Strong understanding of networking fundamentals: DNS, HTTP/S, TCP/IP, load balancing.</li></ul><p>Preferred Qualifications:</p><ul><li>Cloud certifications: AWS Solutions Architect, CKA/CKAD, GCP Professional DevOps Engineer.</li><li>Experience with service mesh technologies (Istio, Linkerd).</li><li>Familiarity with GitOps tools such as ArgoCD or Flux.</li><li>Experience with database operations and managed DB services (RDS, CloudSQL, Aurora).</li><li>Knowledge of security frameworks, compliance standards (SOC 2, ISO 27001), and DevSecOps pipelines.</li><li>Experience in a fast-paced startup or high-growth engineering environment.</li></ul><p>Core Tech Stack:</p><ul><li>Kubernetes (EKS/GKE/AKS)</li><li>Terraform / Pulumi</li><li>AWS / GCP / Azure</li><li>GitHub Actions / GitLab CI</li><li>Docker / Helm</li><li>Prometheus &amp; Grafana</li><li>Python / Bash / Go</li><li>ArgoCD / Flux</li><li>Vault / Secrets Manager</li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Job Description:</strong><br>NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.<br><strong>Job Title</strong><br>Senior Data Engineer (Analytics &amp; Automation)<br><strong><strong>Job Summary</strong></strong><br>Were looking for a Senior Data Engineer to build scalable, automated, and AI-powered analytics solutions that drive real business impact.<br><strong>Key Responsibilities</strong><br>Build Python-based automation, scalable data pipelines, and analytics frameworks<br>Develop reusable analytics modules (forecasting, anomaly detection, driver analysis)<br>Automate reporting, alerts, and insight generation<br>Design and develop interactive React-based analytics applications<br>Create scalable data models, standardized KPIs, and data marts<br>Ensure data quality and metric consistency<br>Partner with stakeholders to translate business problems into actionable solutions<br>Qualifications<br>3+ years of experience in Analytics/Data roles<br>Strong SQL and Python skills<br>Experience working with large-scale datasets<br>Experience building data tools, dashboards, or applications<br>Exposure to production workflows (Airflow, Lambda, scheduled jobs, etc.)<br>Experience with React or web-based analytics tools (preferred)<br>Knowledge of AI/ML use cases in analytics is a plus<br>Bachelors degree required; MBA/MSc is a plus<br><strong>Required Skills:</strong><br>• Automation<br>• Business<br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <strong>Job Description:</strong><br>NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.<br><strong>Job Title</strong><br>Senior Data Engineer (Analytics &amp; Automation)<br><strong><strong>Job Summary</strong></strong><br>Were looking for a Senior Data Engineer to build scalable, automated, and AI-powered analytics solutions that drive real business impact.<br><strong>Key Responsibilities</strong><br>Build Python-based automation, scalable data pipelines, and analytics frameworks<br>Develop reusable analytics modules (forecasting, anomaly detection, driver analysis)<br>Automate reporting, alerts, and insight generation<br>Design and develop interactive React-based analytics applications<br>Create scalable data models, standardized KPIs, and data marts<br>Ensure data quality and metric consistency<br>Partner with stakeholders to translate business problems into actionable solutions<br>Qualifications<br>3+ years of experience in Analytics/Data roles<br>Strong SQL and Python skills<br>Experience working with large-scale datasets<br>Experience building data tools, dashboards, or applications<br>Exposure to production workflows (Airflow, Lambda, scheduled jobs, etc.)<br>Experience with React or web-based analytics tools (preferred)<br>Knowledge of AI/ML use cases in analytics is a plus<br>Bachelors degree required; MBA/MSc is a plus<br><strong>Required Skills:</strong><br>• Automation<br>• Business<br> </div>

<p><br></p><p>Position Overview We're seeking a Software Development Engineer to join our team in Cairo, Egypt. Key Responsibilities: Develop and maintain CI/CD pipelines to ensure continuous integration and automated deployments. Collaborate with development teams to ensure proper monitoring and alerting are in place. Automate repetitive tasks through scripting (e.g., Python, Bash) and configuration management tools (e.g., Ansible, Chef, Puppet). Ensure high availability and disaster recovery by managing backups, redundancy, and failover systems. Monitor system performance, troubleshoot issues, and optimize infrastructure performance. Support containerization and orchestration technologies (e.g., Docker, Kubernetes). Implement security best practices, including identity and access management (IAM), encryption, and network security. Implement infrastructure as code (IaC) using tools such as Terraform.</p><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field.</li><li>Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or CircleCI.</li><li>Knowledge of version control systems, including Git, GitHub, and GitLab.</li><li>Experience with containerization and orchestration technologies such as Docker and Kubernetes.</li><li>Strong scripting skills in languages such as Python, Bash, or similar.</li><li>Experience with monitoring and logging tools such as Prometheus, Grafana, and the ELK Stack.</li><li>Familiarity with configuration management tools such as Ansible, Chef, Puppet, or SaltStack.</li><li>Strong understanding of network protocols, security principles, and infrastructure security.</li></ul>

<p>We are looking for a Policy Engineer to design, implement, and validate fine-grained authorization policies for AI agent platforms and cloud-native services. The role focuses on Cedar policy development, identity provider integrations, policy enforcement, and attribute-based access control. The ideal candidate combines hands-on security engineering experience with strong Python skills and a deep understanding of modern authorization architectures.</p><p><br></p><p><b>What project we have for you</b></p><p>Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications.</p><p>Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform.</p><p>The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices.</p><p><br></p><p><b>What you will do</b></p><p>Design, implement, and maintain authorization policies using Cedar policy language.</p><p>Develop and test policy definitions, validation workflows, and policy enforcement mechanisms.</p><p>Configure and manage AWS AgentCore Policy in LOG_ONLY and ENFORCE modes.</p><p>Build Python-based tooling for policy validation, testing, and governance.</p><p>Integrate authorization frameworks with Microsoft Entra ID and other identity providers.</p><p>Design claims mapping and token-based authorization flows using OAuth 2.0 and JWT.</p><p>Implement fine-grained and parameter-level access control models.</p><p>Develop and maintain ABAC and RBAC authorization patterns for platform services and AI agents.</p><p>Partner with platform and security teams to ensure secure access governance across distributed systems.</p><p>Create auditability and traceability mechanisms for authorization decisions.</p><p>Support adoption of policy-as-code practices and authorization best practices.</p><p>What you need for this</p><p>• Cedar policy language — authoring and testing</p><p>• AWS AgentCore Policy LOG_ONLY / ENFORCE modes</p><p>• Python (policy validation tooling)</p><p>• MS Entra claims mapping</p><p>• Parameter-level access control patterns</p><p><br></p><p><br></p><p><strong>Desired Candidate Profile</strong></p><p style="font-size: 11px;"><b style="font-size: 11px;">Experience:</b></p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">• 3+ years security engineering or backend engineering</p><p style="font-size: 11px;">• Identity provider integration (Entra, Okta, Cognito)</p><p style="font-size: 11px;">• Policy definition in any ABAC or RBAC system</p><p style="font-size: 11px;">• Open Policy Agent (OPA) or Cedar hands-on</p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">Will be a plus:</p><p style="font-size: 11px;"><br></p><p style="font-size: 11px;">• LangGraph tool invocation patterns</p><p style="font-size: 11px;">• AWS AgentCore Gateway integration</p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a skilled and experienced Principal DevOps/SysOps Engineer to join our innovative team.<br> The ideal candidate possesses a strong knowledge in Linux Servers administration, Managing clusters, monitoring tools, containerization (Docker and Kubernetes), cloud platforms (AWS, Azure, Google), infrastructure-as-code (Terraform and Ansible), and scripting languages using Bash and Python.<br> If you are a seasoned professional with a deep understanding of the software development lifecycle, we invite you to apply and contribute to our dynamic and collaborative environment.<br> If you are a passionate and experienced Principal DevOps/SysOps Engineer with a comprehensive skill set, including expertise in Linux, we encourage you to apply and contribute to our cutting-edge projects and initiatives.<br> Responsibilities: Deploy, configure, and maintain Linux and Windows servers across physical and virtual environments.<br> Strong knowledge of HPC cluster management, job scheduling systems like SLURM or Run:AI Hands on experience of Docker containers and Kubernetes, implementation, administration and optimization within complex large scale environments Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, GitOps and cloud technologies.<br> Proficiency in scripting languages such as Bash, Python for automation and performance tuning.<br> Experience with high-speed interconnects (Infiniband, Ethernet), distributed storage systems, and cluster networking.<br> Configure and maintain firewalls, load balancers, and VPNs.<br> Proven ability to troubleshoot complex system and networking issues in large-scale clusters.<br> Install and utilize monitoring tools to ensure the health, performance, and security of systems.<br> Worked with at least one major cloud provider (AWS, Azure, or Google) to deploy and manage cloud-based solutions.<br> Apply knowledge of cybersecurity best practices to enhance the security posture of systems.<br> Utilize infrastructure-as-code tools like Terraform and Ansible for efficient and reproducible infrastructure deployment.<br> Possess a good understanding of the software development lifecycle to collaborate effectively with development teams.<br> Salary paid in USD Six-month career advancing opportunities Employee parking space Supportive and friendly work environment Premium medical insurance [employee +family] English language development courses Interest-free loans paid over 2.<br>5 years Technical development courses Planned overtime program (POP) Employment referral program Premium location in Maadi Social insurance Bachelor's degree in Computer Science, Information Technology, or a related field with 8+ years of experience.<br> Proven experience as a DevOps Engineer with a focus on CI/CD, containerization, and cloud technologies.<br> Strong knowledge and hands-on experience with Docker containers and Kubernetes.<br> Interaction with at least one major cloud provider (AWS, Azure, or Google).<br> Understanding and application of cybersecurity principles.<br> Proficiency in infrastructure-as-code tools like Terraform and Ansible.<br> Excellent scripting skills in Bash and Python.<br> Familiarity with the software development lifecycle.<br> Strong knowledge of Linux operating systems.<br> Preferred Experience: CKA/CKAD/CKS certification.<br> Certifications in relevant DevOps, cloud, and cybersecurity domains.<br> Additional scripting languages and automation tool proficiency.<br> Active participation in community forums or open-source projects.<br></span> </div>

About the Role Ostoul Capital Group is looking for an AI & Automation Engineer to work closely with our leadership team on a range of AI, automation, data, and internal technology initiatives. This is a hands-on role for someone who enjoys using modern AI tools to solve real business problems. You will work across different departments to identify manual processes, build automations, develop AI-powered tools, analyse data, and rapidly prototype new solutions. We are not looking for someone who only understands AI theoretically. We want someone who is comfortable building things, experimenting with new tools, working independently, and using AI-assisted development tools to move quickly.<br>What You’ll Work OnYour work may include:Automating repetitive business and operational processes. Building internal AI-powered tools and applications. Using AI coding tools such as Claude Code and Claude Cowork to rapidly develop and improve solutions. Developing Python scripts, integrations, APIs, and automation workflows. Working with structured and unstructured business data. Querying and manipulating data using SQL. Connecting different internal systems and external APIs. Building AI workflows using LLMs and other AI services. Creating prototypes and proof-of-concepts for new AI initiatives. Supporting reporting, analytics, and management dashboards. Working with different departments to understand problems and turn them into practical technology solutions. Researching and testing new AI tools that could improve productivity across the company.<br>What We’re Looking For Required1–2 years of relevant professional. Strong practical experience with modern AI tools and LLMs. Comfortable using AI-assisted development tools, particularly Claude Code. Experience or strong familiarity with Claude Cowork or similar agentic AI tools. Good working knowledge of Python. Basic to intermediate knowledge of SQL. Ability to work with APIs, JSON, databases, and third-party services. Strong problem-solving skills and the ability to turn loosely defined business requirements into working solutions. Comfortable learning unfamiliar technologies quickly. Ability to work independently without needing detailed technical instructions for every task.<br>Strong Plus Experience with any of the following would be valuable:Power BI or other business intelligence tools. Experience with Power Automate Desktop. Data analytics and data visualisation. Front-end development such as React, Java Script, HTML/CSS or similar technologies. Workflow automation platforms such as n8n, Make, Zapier or Power Automate. AI APIs such as Anthropic, Open AI, Gemini or similar platforms. Building AI agents or multi-step AI workflows. Data extraction, document processing, OCR or intelligent document automation. Git/Git Hub and basic software development practices. Working with financial services, fintech, brokerage or investment-related systems.<br>Who Would Be a Good Fit? You would be a strong fit if you are the type of person who:Uses AI tools every day rather than occasionally. Likes figuring things out rather than waiting for detailed instructions. Can go from an idea to a working prototype quickly. Is equally comfortable looking at a business process, writing Python, querying a database, and testing an AI model. Constantly experiments with new AI products and development tools. Understands that AI and automation often work together rather than as separate disciplines. Is interested in applying AI to real operational problems rather than only building demos.<br>Why Join Ostoul? You will have the opportunity to work directly on real AI transformation initiatives within one of Egypt's established financial services groups. Unlike a traditional junior development role, you will be exposed to a wide variety of projects across AI, automation, data, operations, analytics and digital products, with significant freedom to experiment and build. This is a particularly good opportunity for someone early in their career who wants to become highly experienced in the practical application of AI inside a real business.

<p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p><p>What this opportunity involves</p><p>We're building a dataset to evaluate AI coding agents - how well a model handles real-world developer tasks. You'll create challenging tasks and evaluation criteria within realistic simulated environments:</p><ul><li>Build realistic developer environments - a virtual company with codebase, infrastructure, and context (tickets, docs, conversations) that forms a believable development history</li><li>Design tasks from intermediate states of these environments - craft the prompt, define what "solved" means, and ensure the task is solvable by an AI agent</li><li>Write tests that verify agent solutions - accept all valid approaches and reject incorrect ones, neither too strict nor too lenient</li><li>Iterate on tasks and tests based on QA feedback - review agent solutions, analyze failures, and refine until the evaluation is fair and robust</li></ul><p>What this is NOT</p><ul><li>Not data labeling</li><li>Not prompt engineering</li><li>Not writing code from scratch - the agent writes most of the code; you guide and evaluate</li></ul><p>What we look for</p><ul><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul><p><br></p><p><strong>Desired Candidate Profile</strong></p><ul><li>5+ years in software development</li><li>Core stack: Python (FastAPI), JavaScript/TypeScript (React), Docker, Postgres, Kafka, Redis</li><li>Experience writing tests (functional, integration)</li><li>English proficiency - B2+</li></ul>

<ul><li><p>الواجهات الأمامية: HTML, CSS, JavaScript وإطارات العمل مثل React.js أو Next.js.</p></li><li><p>الواجهات الخلفية وخوادم التشغيل: Node.js, Python/Django, أو PHP/Laravel.</p></li><li><p>قواعد البيانات: التعامل مع SQL (مثل PostgreSQL أو MySQL) وNoSQL (مثل MongoDB).</p></li><li><p>أدوات الإدارة والرفع: Git، نظام تحكم النسخ، وأساسيات الخوادم السحابية (AWS) والحاويات (Docker)</p></li></ul><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p><strong>الأساسيات:</strong> HTML5, CSS3, JavaScript (ES6+).</p></li><li><p><strong>أطر العمل والمكتبات (Frameworks/Libraries):</strong> إتقان أحد الأطر الحديثة مثل React.js, Vue.js, أو Angular (مع زيادة الطلب على إطار Next.js أو Nuxt.js لتطوير واجهات متقدمة وداعمة للـ SEO).</p></li><li><p><strong>أدوات التنسيق وتجربة المستخدم:</strong> Tailwind CSS, Bootstrap, أو Sass لتصميم واجهات متجاوبة (Responsive Design) تعمل على مختلف الشاشات.</p></li><li><p><strong>إدارة الحالة (State Management):</strong> Redux, Zustand, أو Context API.<br><strong>Node.js / Express.js / NestJS</strong> (الأكثر طلباً للربط المباشر مع JavaScript/TypeScript).</p></li><li><p><strong>Python</strong> (Django أو Flask).</p></li><li><p><strong>PHP</strong> (Laravel).</p></li><li><p><strong>C#</strong> (.NET Core) أو <strong>Java</strong> (Spring Boot).</p></li></ul><ul><li><p><strong>واجهات برمجة التطبيقات (APIs):</strong> تصميم وبناء RESTful APIs و GraphQL، ومعالجة Webhooks.<br><strong>قواعد البيانات العلائقية (Relational / SQL):</strong> PostgreSQL, MySQL.</p></li><li><p><strong>قواعد البيانات غير العلائقية (NoSQL):</strong> MongoDB, Redis (للتخزين المؤقت - Caching).</p></li><li><p><strong>أدوات إدارة قواعد البيانات (ORMs):</strong> Prisma, TypeORM, Mongoose, أو Sequelize.<br><strong>دارة النسخ البرمجية:</strong> إتقان Git و GitHub/GitLab لتتبع التغييرات والعمل مع الفرق.</p></li><li><p><strong>النشر والسحابة (Deployment &amp; Cloud):</strong> فهم أساسيات التعامل مع خدمات مثل AWS, Vercel, Render, أو Docker لتجميع ونشر التطبيقات.</p></li><li><p><strong>الأمان (Security Fundamentals):</strong> حماية التطبيقات من الثغرات الشائعة (مثل CORS, CSRF, XSS, SQL Injection) وتطبيق آليات المصادقة (JWT, OAuth).</p></li></ul><p></p>

<ul><li><p>الواجهات الأمامية: HTML, CSS, JavaScript وإطارات العمل مثل React.js أو Next.js.</p></li><li><p>الواجهات الخلفية وخوادم التشغيل: Node.js, Python/Django, أو PHP/Laravel.</p></li><li><p>قواعد البيانات: التعامل مع SQL (مثل PostgreSQL أو MySQL) وNoSQL (مثل MongoDB).</p></li><li><p>أدوات الإدارة والرفع: Git، نظام تحكم النسخ، وأساسيات الخوادم السحابية (AWS) والحاويات (Docker)</p></li></ul><p></p><p><strong>Requirements</strong></p><p></p><ul><li><p><strong>الأساسيات:</strong> HTML5, CSS3, JavaScript (ES6+).</p></li><li><p><strong>أطر العمل والمكتبات (Frameworks/Libraries):</strong> إتقان أحد الأطر الحديثة مثل React.js, Vue.js, أو Angular (مع زيادة الطلب على إطار Next.js أو Nuxt.js لتطوير واجهات متقدمة وداعمة للـ SEO).</p></li><li><p><strong>أدوات التنسيق وتجربة المستخدم:</strong> Tailwind CSS, Bootstrap, أو Sass لتصميم واجهات متجاوبة (Responsive Design) تعمل على مختلف الشاشات.</p></li><li><p><strong>إدارة الحالة (State Management):</strong> Redux, Zustand, أو Context API.<br><strong>Node.js / Express.js / NestJS</strong> (الأكثر طلباً للربط المباشر مع JavaScript/TypeScript).</p></li><li><p><strong>Python</strong> (Django أو Flask).</p></li><li><p><strong>PHP</strong> (Laravel).</p></li><li><p><strong>C#</strong> (.NET Core) أو <strong>Java</strong> (Spring Boot).</p></li></ul><ul><li><p><strong>واجهات برمجة التطبيقات (APIs):</strong> تصميم وبناء RESTful APIs و GraphQL، ومعالجة Webhooks.<br><strong>قواعد البيانات العلائقية (Relational / SQL):</strong> PostgreSQL, MySQL.</p></li><li><p><strong>قواعد البيانات غير العلائقية (NoSQL):</strong> MongoDB, Redis (للتخزين المؤقت - Caching).</p></li><li><p><strong>أدوات إدارة قواعد البيانات (ORMs):</strong> Prisma, TypeORM, Mongoose, أو Sequelize.<br><strong>دارة النسخ البرمجية:</strong> إتقان Git و GitHub/GitLab لتتبع التغييرات والعمل مع الفرق.</p></li><li><p><strong>النشر والسحابة (Deployment &amp; Cloud):</strong> فهم أساسيات التعامل مع خدمات مثل AWS, Vercel, Render, أو Docker لتجميع ونشر التطبيقات.</p></li><li><p><strong>الأمان (Security Fundamentals):</strong> حماية التطبيقات من الثغرات الشائعة (مثل CORS, CSRF, XSS, SQL Injection) وتطبيق آليات المصادقة (JWT, OAuth).</p></li></ul><p></p>