Python Developer Jobs in Egypt

<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>Role profile</h4> <p><strong>Build the AI data backbone:</strong> Write scripts to extract, clean, and chunk structured/unstructured data from our central Lakehouse to feature store and RAG systems.</p> <p><strong>Production prompt engineering:</strong> Design, test, and version-control prompts, system instructions, and JSON tool-calling schemas for different LLM providers.</p> <p><strong>Own automated evals:</strong> Build repeatable evaluation pipelines for classical ML and LLMs.</p> <p><strong>Deployment & automation:</strong> Package AI features and data workflows using GIT, Jenkins or any equivalent tool.</p> <h4>Competencies & qualifications</h4> <p><strong>Core software discipline:</strong> Write clean, modular, asynchronous Python; write complex SQL queries; practice strict Git and CI/CD version control.</p> <p><strong>Data engineering (ETL/Spark):</strong> Hands-on ability to build retryable ETL/ELT pipelines and write efficient PySpark jobs to process large training/evaluation datasets.</p> <p><strong>Applied AI & RAG:</strong> Deep understanding of vector embeddings, semantic search, vector and AI orchestration frameworks.</p> <p><strong>AI quality assurance:</strong> Experience with model evaluation tools and methodologies.</p> <p><strong>Infrastructure:</strong> Comfortable with basic Linux admin & bash commands, monitoring and automating AI services.</p> <h4>Not a perfect fit?</h4> <p>Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p> <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 increasing 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 refer to our careers website for guidance.</p> <p><strong>Together we can.</strong></p></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><strong>Family Description</strong><br>Join our Network Infrastructure (NI) as a Summer Trainee at the Egypt Hub. We<span> are looking for talented and enthusiastic Agentic AI Engineers to join our AI &amp; Automation Development Team and help drive the adoption of Agentic AI and next-generation development practices. In this role, you will act as a key enabler for engineering teams, supporting the adoption of AI-powered development tools, agentic workflows, and modern DevOps practices. Your contributions will directly enhance developer productivity and help build a seamless, intelligent development experience.&nbsp;</span> Working alongside experienced engineers, you will gain hands-on exposure to cutting-edge AI technologies while helping enhance productivity, innovation, and the overall software development experience.<br>&nbsp;</p><br><br> <b>Advancing connectivity to secure a brighter world.</b><br> <p><span>Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.&nbsp;</span></p><br><br> Learn more about life at Nokia.<br> <p><b>Our recruitment process</b></p><br> <p>We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.</p><br> <p>If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.</p><br> <p>The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates.&nbsp;Discover more about the recruitment process at Nokia.&nbsp;</p><br><br><br>Responsibilities:<br><ul><li><p>Support engineering teams in adopting AI coding assistants such as GitHub Copilot, Cursor, and Claude Code.&nbsp;</p><br></li><li><p>Design and implement Agentic AI workflows using modern frameworks such as LangGraph.&nbsp;</p><br></li><li><p>Contribute to LLM-based applications and RAG pipelines for intelligent automation solutions.&nbsp;</p><br></li><li><p>Work on MCP integrations, agent configurations, and automation workflows.&nbsp;</p><br></li><li><p>Configure and optimize development environments, IDEs, and engineering tools.&nbsp;</p><br></li><li><p>Support DevOps, DevSecOps, CI/CD automation, testing, and infrastructure provisioning.&nbsp;</p><br></li><li><p>Collaborate with senior engineers to enhance developer productivity, tooling, and workflows.&nbsp;</p><br></li><li><p>Provide technical support, documentation, and stay current with emerging Agentic AI and AI-native development trends.<br>&nbsp;</p><br></li></ul><br>Qualifications:<br><p><strong>You have:&nbsp;</strong></p><br><ul><li><p><span>Preferred major in Telecommunications, Computer Engineering, or Computer Science.</span></p><br></li><li><p><span>Post-grads/under-graduation: Graduation year in 2025, 2026, or 2027.</span></p><br></li><li><p><span>Strong foundation in Python and scripting</span></p><br></li><li><p><span>Understanding of LLMs, RAG, and Agentic AI concepts</span></p><br></li><li><p><span>Familiarity with Git and version control workflows</span></p><br></li></ul><p><span><strong>It would be nice if you also have:</strong></span></p><br><ul><li><p><span>Basic knowledge of DevOps, CI/CD processes, and testing practices</span><br><span>Good to Have</span></p><br></li><li><p><span>Experience with LangGraph or agent orchestration frameworks</span></p><br></li></ul> </div>

<h2>About the role</h2><p>We’re building a <strong>suite of products</strong> that powers multiple customer-facing and internal capabilities across enterprise workflows. We’re looking for <strong>experienced ML engineers</strong> (mid-level senior and above) who can <strong>design, build, and ship ML systems end-to-end</strong>—not just run notebooks or stitch together managed services.</p><p>This role is for engineers who enjoy <strong>owning systems from first principles</strong>: data pipelines, training/evaluation, deployment/serving, monitoring, and continuous improvement—at real scale, with real reliability and security constraints.</p><h2>What you’ll do</h2><ul><li><p>Build and productionize ML solutions end-to-end: <strong>data → training → evaluation → deployment → monitoring → iteration</strong>.</p></li><li><p>Design and implement <strong>scalable model-serving systems</strong> (batch + real-time) with clear SLAs (latency, throughput, availability, cost).</p></li><li><p>Create and maintain <strong>ML infrastructure components from scratch</strong> (not only “using cloud as-is”):</p><ul><li><p>Containerized services, inference APIs, autoscaling patterns.</p></li><li><p>Orchestration for training/inference workflows.</p></li><li><p>Feature/data processing pipelines.</p></li><li><p>CI/CD for ML, experiment tracking, model registry, reproducibility.</p></li></ul></li><li><p>Define strong <strong>evaluation methodologies</strong> and quality gates (offline metrics, online testing, regression prevention).</p></li><li><p>Implement <strong>observability</strong> (logs/metrics/traces), drift monitoring, and safe rollback mechanisms.</p></li><li><p>Collaborate with engineering/product to translate real business problems into ML solutions that are reliable, secure, and maintainable.</p></li></ul><p></p><p><strong>Requirements</strong></p><h3>Seniority / experience</h3><ul><li><p>We are hiring <strong>mid-level senior and above </strong>candidates.</p></li><li><p>Demonstrated experience shipping <strong>production ML systems</strong> (not just prototypes).</p></li></ul><h3>Core technical skills</h3><ul><li><p>Strong <strong>Python</strong> skills for production (clean code, tests, packaging, performance, code reviews).</p></li><li><p>Solid understanding of ML fundamentals (supervised learning, evaluation, bias/variance tradeoffs, error analysis).</p></li><li><p>Strong <strong>engineering system design</strong> skills for ML applications (data flow, compute, storage, latency/cost tradeoffs).</p></li><li><p>Experience with modern ML frameworks and tooling (examples: PyTorch / TensorFlow, scikit-learn, etc.).</p></li></ul><ul><li><p>Hands-on experience in at least one major cloud (AWS/Azure/GCP) building real systems.</p></li><li><p>Proven ability to <strong>build core services/components</strong>, such as:</p><ul><li><p>Model deployment &amp; serving (REST/gRPC), containers, Kubernetes and/or equivalent.</p></li><li><p>Workflow orchestration (e.g., Airflow/Prefect/Argo or similar).</p></li><li><p>Data pipelines (stream/batch), storage patterns, schema/versioning.</p></li><li><p>Monitoring / alerting for ML systems (quality + infra metrics).</p></li></ul></li><li><p>Strong understanding of security basics for production services (secrets, access control, secure deployment patterns).</p></li><li><p>Strong testing culture (unit/integration), contract testing for ML APIs, load testing.</p></li><li><p>Designing reusable internal libraries/SDKs for other teams.</p></li><li><p>Building <strong>feature stores</strong>, embedding pipelines, or retrieval-augmented systems.</p></li><li><p>Experience with <strong>MLOps</strong> (model registry, experiment tracking, lineage, reproducibility).</p></li><li><p>Performance tuning for inference (batching, quantization, caching, GPU utilization).</p></li><li><p>Hybrid deployment constraints (on-prem, private cloud, air-gapped, data residency).</p></li><li><p>Applied domain experience in majority of the following:</p></li></ul><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; NLP / multilingual text systems (classification, extraction, retrieval, summarization, evaluation).</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Computer vision / document understanding / OCR + post-processing pipelines.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Entity resolution, similarity matching, deduplication, record linkage.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Anomaly detection, risk scoring, fraud signals, graph-based features.</p><p>·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Search / retrieval systems (embeddings, vector databases, reranking).</p><p></p>

<p>We are seeking a Core Monitoring Engineering Specialist to design, implement, support and continuously enhance enterprise monitoring platforms that serve Vodafone Group and local markets globally. This role offers the opportunity to work across large-scale monitoring and observability environments, contribute to technology transformation initiatives, collaborate with stakeholders across multiple countries, and help deliver innovative monitoring solutions that improve service visibility, operational efficiency and customer experience. The successful candidate will play an important role in engineering monitoring platforms, evaluating new technologies, supporting solution design activities, and driving automation and integration initiatives.</p><p><strong>What you ll do</strong></p><ul><li>Design, install, configure, build and deploy enterprise monitoring environments and monitoring tool platforms.</li><li>Deliver proof of value and proof of concept activities to demonstrate platform capabilities and support business growth opportunities.</li><li>Assess emerging technologies and vendors, identifying opportunities to improve monitoring capabilities and services.</li><li>Develop and implement technical solutions, integrations and automation aligned to customer and business requirements.</li><li>Support project and transition planning through technical expertise, solution estimations and design decisions.</li><li>Collaborate with business stakeholders, architects and process owners to define, design and deliver monitoring solutions.</li><li>Contribute to the successful delivery of monitoring system implementations and engineering projects within agreed timelines.</li></ul><p><strong>What skills you will learn</strong></p><ul><li>Advanced monitoring and observability platform engineering.</li><li>Enterprise IT operations management and service management practices.</li><li>Automation, API integration and scripting techniques for operational efficiency.</li><li>Cloud, containerisation and Kubernetes-based operational technologies.</li><li>Technical solution design, stakeholder engagement and project delivery methodologies.</li><li>Vendor technology assessment and enterprise architecture collaboration.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Who you are</strong></p><ul><li>Bachelor s degree in Engineering, Information Technology, Telecommunications, or a related discipline.</li><li>Experience working within service management, monitoring, observability or IT operations environments.</li><li>Knowledge of monitoring and IT operations management platforms, including Micro Focus ITOM technologies such as Operations Bridge, Universal Discovery, SiteScope, BSM/APM and related solutions.</li><li>Experience creating technical designs and low-level design documentation for engineering solutions.</li><li>Understanding of ITIL and IT service management processes, particularly change and configuration management.</li><li>Strong analytical, troubleshooting and problem-solving capabilities with a structured approach to delivery.</li><li>Experience with API development, SQL, scripting and programming languages such as Python, Java, JavaScript, PowerShell, Perl or Shell scripting.</li><li>Knowledge of Linux and Windows administration, web application servers and enterprise application environments.</li><li>Exposure to cloud-native technologies, containerisation and orchestration platforms such as Docker and Kubernetes.</li><li>Effective stakeholder management, communication and documentation skills.</li><li>Ability to work independently, prioritise effectively and take ownership of deliverables.</li></ul><p><strong>Not a perfect fit?</strong></p><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p>

<p>We are seeking a Core Monitoring Engineering Specialist to design, implement, support and continuously enhance enterprise monitoring platforms that serve Vodafone Group and local markets globally. This role offers the opportunity to work across large-scale monitoring and observability environments, contribute to technology transformation initiatives, collaborate with stakeholders across multiple countries, and help deliver innovative monitoring solutions that improve service visibility, operational efficiency and customer experience. The successful candidate will play an important role in engineering monitoring platforms, evaluating new technologies, supporting solution design activities, and driving automation and integration initiatives.</p><p><strong>What you ll do</strong></p><ul><li>Design, install, configure, build and deploy enterprise monitoring environments and monitoring tool platforms.</li><li>Deliver proof of value and proof of concept activities to demonstrate platform capabilities and support business growth opportunities.</li><li>Assess emerging technologies and vendors, identifying opportunities to improve monitoring capabilities and services.</li><li>Develop and implement technical solutions, integrations and automation aligned to customer and business requirements.</li><li>Support project and transition planning through technical expertise, solution estimations and design decisions.</li><li>Collaborate with business stakeholders, architects and process owners to define, design and deliver monitoring solutions.</li><li>Contribute to the successful delivery of monitoring system implementations and engineering projects within agreed timelines.</li></ul><p><strong>What skills you will learn</strong></p><ul><li>Advanced monitoring and observability platform engineering.</li><li>Enterprise IT operations management and service management practices.</li><li>Automation, API integration and scripting techniques for operational efficiency.</li><li>Cloud, containerisation and Kubernetes-based operational technologies.</li><li>Technical solution design, stakeholder engagement and project delivery methodologies.</li><li>Vendor technology assessment and enterprise architecture collaboration.</li></ul><p><strong>Desired Candidate Profile</strong></p><p><strong>Who you are</strong></p><ul><li>Bachelor s degree in Engineering, Information Technology, Telecommunications, or a related discipline.</li><li>Experience working within service management, monitoring, observability or IT operations environments.</li><li>Knowledge of monitoring and IT operations management platforms, including Micro Focus ITOM technologies such as Operations Bridge, Universal Discovery, SiteScope, BSM/APM and related solutions.</li><li>Experience creating technical designs and low-level design documentation for engineering solutions.</li><li>Understanding of ITIL and IT service management processes, particularly change and configuration management.</li><li>Strong analytical, troubleshooting and problem-solving capabilities with a structured approach to delivery.</li><li>Experience with API development, SQL, scripting and programming languages such as Python, Java, JavaScript, PowerShell, Perl or Shell scripting.</li><li>Knowledge of Linux and Windows administration, web application servers and enterprise application environments.</li><li>Exposure to cloud-native technologies, containerisation and orchestration platforms such as Docker and Kubernetes.</li><li>Effective stakeholder management, communication and documentation skills.</li><li>Ability to work independently, prioritise effectively and take ownership of deliverables.</li></ul><p><strong>Not a perfect fit?</strong></p><p>Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software and hardware emulation. Position Overview This role provides a unique opportunity for a full-stack developer skilled in enterprise infrastructure operations. You will work as part of our global Platform Engineering team, simplifying self-service and operations for our global engineering infrastructure. Key Responsibilities As Senior Software Engineer with 13-15 years' experience, your responsibilities will include: Backend services: Design, implement, and operate platform components with an emphasis on reliability, performance, and long-term maintainability APIs: Build and evolve and control-plane services using TypeScript and Go for internal and external consumers Product owner: Own features end-to-end, from technical design and implementation through production rollout, monitoring, and iterative improvement System design: Contribute to discussions, evaluating trade-offs between simplicity, scalability, and operational complexity Monitoring, Logging &amp; Alerting: Improve system operability by enhancing logging, metrics, alerting, and deployment workflows Code quality: Participate in code reviews and design discussions, maintaining high standards for code quality, testing, and documentation Infrastructure Design &amp; Implementation: Design, provisioning, and management of highly available, scalable, and secure cloud infrastructure (e.g., AWS, Azure, GCP, OpenStack) using Infrastructure as Code (IaC) principles Automation &amp; CI/CD: Develop, maintain, and optimize robust CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps, Argo CD) to automate software delivery, testing, and deployment processes Containerization &amp; Orchestration: Design, implement, and manage containerized application platforms using Docker and Kubernetes, ensuring efficient resource utilization and operational stability Technical Experience Backend &amp; Systems Hands-on experience building backend services in Python/Go and TypeScript, including APIs, background workers, and internal platform tooling Practical understanding of distributed systems concepts such as failure handling, retries, idempotency, and eventual consistency Frontend &amp; Full-Stack Advanced TypeScript experience building and maintaining production-grade applications Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns Strong focus on developer experience and maintainable, scalable frontend codebases APIs &amp; Developer Experience Design and implementation of well-structured REST APIs with clear versioning, consistent error handling, and thorough documentation Development of internal tools, SDKs, and CLIs that improve developer productivity and reduce operational friction</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>13-15 years of professional, enterprise software engineering experience shipping and operating production systems Strong proficiency in TypeScript and Go in real-world production environments Experience building and maintaining applications with Next.js Solid understanding of distributed systems and cloud-native architectures Proven ability to own and deliver complex features from design through production Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are seeking an experienced Data Developer to design, develop, and optimize enterprise data platforms, data warehouses, analytics solutions, and business intelligence applications. The ideal candidate will have expertise in data engineering, database development, reporting, cloud data platforms, and AI-enabled analytics to support enterprise decision-making and digital transformation initiatives.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and enterprise data solutions.</li><li>Build and optimize data warehouses, data marts, and analytical data models.</li><li>Develop interactive dashboards, reports, and visualizations for business stakeholders.</li><li>Design, optimize, and maintain relational and cloud-based databases.</li><li>Develop SQL queries, stored procedures, and database objects for high-performance data processing.</li><li>Implement ETL/ELT processes and data integration workflows.</li><li>Collaborate with business analysts, data engineers, architects, and application teams to deliver data-driven solutions.</li><li>Ensure data quality, security, governance, and performance across enterprise platforms.</li><li>Troubleshoot and optimize database performance and reporting solutions.</li><li>Prepare technical documentation and follow enterprise data management best practices.</li></ul><p>Must-Have Skills</p><ul><li>Experience with Snowflake or comparable cloud data warehouse platforms.</li><li>Experience with Power BI OR Tableau for business intelligence and data visualization.</li><li>Strong experience with PostgreSQL OR Microsoft SQL Server .</li><li>Experience with Redis or comparable in-memory caching technologies.</li><li>Experience with Dataiku DSS OR Vertex AI for advanced analytics, AI, and data science workflows.</li><li>Strong knowledge of SQL , database design, and query optimization.</li><li>Experience developing ETL/ELT pipelines and enterprise data integration solutions.</li><li>Strong understanding of data modeling, data warehousing, and analytics concepts.</li></ul><p>Good to Have</p><ul><li>Experience with Azure Synapse OR Google BigQuery OR Amazon Redshift .</li><li>Experience with Databricks OR Apache Spark .</li><li>Experience with Apache Airflow OR Azure Data Factory OR dbt .</li><li>Knowledge of Python for data engineering and automation.</li><li>Experience with Git , CI/CD pipelines, and DevOps practices.</li><li>Understanding of data governance, metadata management, and data quality frameworks.</li><li>Experience with cloud platforms such as Microsoft Azure , AWS , or Google Cloud Platform (GCP) .</li></ul><p>Qualifications</p><ul><li>Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li></ul><p>Preferred Skills</p><ul><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</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, Data Engineering, Data Science, Software Engineering, or a related field.</li><li>3 12+ years of experience in data engineering, database development, business intelligence, or enterprise data platform development.</li><li>Experience designing enterprise data warehouse and analytics architectures.</li><li>Experience delivering cloud-based data modernization and digital transformation projects.</li><li>Strong analytical and problem-solving skills.</li><li>Experience working in Agile/Scrum environments.</li><li>Excellent communication, documentation, and stakeholder management skills.</li><li>Ability to optimize data platforms for scalability, reliability, and performance.</li></ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We're looking for a QA Test Engineer to join our team in Cairo, Egypt. Responsibilities: Design, maintain, and execute comprehensive product test plans to ensure software quality throughout the development lifecycle. Create, execute, and document test cases while tracking and reporting test progress and results. Perform a wide range of testing activities, including integration, regression, licensing, installation, and GUI testing across multiple release cycles. Design and enhance test automation frameworks to reduce manual effort, improve test efficiency, and accelerate release timelines. Understand customer use cases and integrate customer designs into internal test environments to validate real-world scenarios. Conduct product benchmarking and performance evaluations to measure and compare tool performance across releases. Report, validate, and triage software defects by performing root cause analysis and assessing their impact and priority in collaboration with R&amp;D teams. Utilize code coverage tools and techniques to evaluate test effectiveness and identify opportunities to improve overall test coverage. Required experience/skills Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. Strong understanding of digital design and RTL design fundamentals. Solid knowledge of one or more hardware description languages, such as Verilog, VHDL, or SystemVerilog. Familiarity with Siemens EDA tools, including simulation, synthesis, design entry, or functional verification flows, is highly desirable. Experience with scripting languages such as Shell, Perl, or Python. Good understanding of software quality assurance principles and software testing methodologies. Familiarity with test strategies, test planning, and test automation tools. Experience with defect tracking systems, configuration management, and code profiling tools. Excellent written and verbal communication skills, with the ability to clearly present ideas and collaborate effectively across teams. Why Us? At Siemens Software, flexibility is how we work—hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow! Our Benefits &amp; Rewards The salary range for this position is $23,900 to $47,800 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: https://jobs.sw.siemens.com/benefits/ Our Commitment to Equity and Inclusion in our Diverse Global Workforce We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self and transform the everyday with us. Siemens Software. Transform the Everyday. #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> <strong>Envision Employment Solutions</strong> is currently looking for a<strong> Senior Data Scientist - AI &amp; ML Engineer </strong>for one of our partners, a global leader in <strong>consulting, digital transformation, technology and engineering services!</strong> </p> <p> </p> <p> <strong>About:</strong> </p> <p>The <strong>Senior Data Scientist - AI &amp; ML Engineer </strong>will be responsible for delivering end-to-end machine learning solutions, designing scalable AI architectures, and developing Agentic AI applications that drive intelligent automation and business value.</p> <p> </p> <p> <strong>Responsibilities:</strong> </p> <p> <strong>AI &amp; Machine Learning Development</strong> </p> <ul> <li> Design, develop, and deploy AI and machine learning solutions that address business needs. </li> <li> Build and implement Agentic AI applications using modern AI frameworks. </li> <li> Lead the full machine learning lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring. </li> <li> Optimize models to improve accuracy, scalability, and performance in production environments. </li> <li> Implement model monitoring, drift detection, and retraining strategies. </li> </ul> <p> <strong>Data Engineering &amp; MLOps</strong> </p> <ul> <li> Design scalable data pipelines to support machine learning workloads. </li> <li> Collaborate with data engineers to ensure reliable data ingestion, transformation, and storage. </li> <li> Develop and maintain ML-focused CI/CD pipelines. </li> <li> Implement model versioning, automated testing, and deployment best practices. </li> <li> Support containerized and cloud-native ML deployments. </li> </ul> <p> <strong>Cloud &amp; Solution Architecture</strong> </p> <ul> <li> Design AI and ML solutions using cloud platforms such as Azure, AWS, or GCP. </li> <li> Architect scalable infrastructure to support enterprise AI applications. </li> <li> Recommend technology solutions aligned with business and technical requirements. </li> <li> Ensure AI solutions meet security, reliability, and performance standards. </li> </ul> <p> <strong>Collaboration &amp; Leadership</strong> </p> <ul> <li> Partner with business stakeholders to understand objectives and translate them into technical solutions. </li> <li> Collaborate with cross-functional teams throughout the solution lifecycle. </li> <li> Mentor junior data scientists and ML engineers. </li> <li> Promote best practices in machine learning, software engineering, and MLOps. </li> <li> Stay informed about emerging AI technologies and industry trends.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul> <li>6-10 years of experience working with complex datasets and solving real-world business problems using AI</li> <li>Proven track record of deploying and maintaining ML models in production environments and delivering AI solution architecture.</li> <li>Strong proficiency in Python, data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and agentic application development libraries (e.g. LangChain, LangGraph).</li> <li>Strong command of SQL and experience with large-scale data processing tools (e.g., Spark, Pandas).</li> <li>Deep understanding of cloud platforms (Azure, AWS, GCP) and their ML services.</li> <li>Skilled in MLOps practices including CI/CD, containerization (e.g. Docker), and orchestration (Kubernetes).</li> <li>Strong command of Git and collaborative development workflows.</li> <li>Excellent written and verbal communication skills, capable of conveying complex concepts to a variety of audiences.</li> <li>Fluent in Arabic &amp; English, both spoken and written (German is a plus!)</li> <li>Able to listen to and understand customer needs and articulate them as technical requirements to the team.</li> <li>Strong problem-solving abilities and attention to detail.</li> <li>Strategic thinking with the ability to align data science initiatives with business objectives.</li> <li>Strong leadership and team management skills with the ability to inspire and motivate.</li> <li>Ability to work collaboratively in a team environment.</li> <li>Self-motivated with a strong growth mindset. </li> </ul><p></p></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <b>Job Ad</b><p>We’re looking for a Software Engineer - Agentic Foundation to join Procore’s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.</p><br><br><br><br><p>Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We’re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.&nbsp;</p><br><br><br><p>We’re looking for someone to join us immediately.</p><br><br><br><p><b><b>What you’ll do:</b></b></p><br><br><ul> <li><p>AI is central to how we work. You’ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction.</p><br><br></li> <li><p>Design, build, and evolve the core agentic tooling and frameworks that enable Procore engineers to leverage AI natively across the software development lifecycle — from code generation and review to test orchestration and deployment.</p><br><br></li> <li><p>Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.</p><br><br></li> <li><p>Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.</p><br><br></li> <li><p>Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.</p><br><br></li> <li><p>Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.</p><br><br></li> </ul><p><b><b>What we’re looking for:</b></b></p><br><br><ul> <li><p>3+ years of professional software engineering experience, with experience in full-stack development and backend systems.</p><br><br></li> <li><p>Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.</p><br><br></li> <li><p>Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.</p><br><br></li> <li><p>Hands-on experience with AI coding tools (Claude, Cursor, Copilot, or similar) and building or customizing AI-assisted workflows: skills, prompt engineering, MCP integrations, evals, or agentic pipelines.</p><br><br></li> <li><p>Experience working with modern web development including development, testing, staging, deploying, and monitoring</p><br><br></li> <li><p>Comfortable exploring uncharted territory: AI tooling is a fast-moving space with no established playbook. You evaluate new technologies critically, form your own conclusions from experimentation, and can distinguish what actually works from what's just trending.</p><br><br></li> </ul><p><b><b>Nice to Have</b></b></p><br><br><ul><li><p>Experience building or integrating AI-native developer tooling — LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.</p><br><br></li></ul><br><br> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Lead the technical architecture of Data, Analytics and AI solutions for our clients, covering the full lifecycle from design to deployment: ARCHITECTURE &amp; DESIGN Design end-to-end data architectures: data lakes, lakehouses, warehouses, and streaming pipelines. Define standards for data modeling, storage, ingestion, and transformation across client engagements. Architect MLOps and AI deployment infrastructure (model registries, CI/CD for ML, monitoring). Lead technical decisions on cloud platforms (Azure, AWS, GCP) and open-source tooling. TEAM ENABLEMENT Define best practices and reusable frameworks for data engineers, analysts, and data scientists. Act as a technical mentor and reviewer for cross-functional project teams. Bridge the gap between data analysts, data engineers, and AI/ML engineers on complex projects. Contribute to internal knowledge base, toolkits, and delivery accelerators. CLIENT ENGAGEMENT Lead architecture workshops and discovery sessions with client stakeholders. Translate business requirements into scalable, robust technical blueprints. Present architecture decisions to both technical teams and executive audiences. Support pre-sales and proposal efforts with technical scoping and solution design. OTHER Provide internal training and knowledge-sharing sessions with the team. Support the Head of Practice on business development and internal capability initiatives.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Master's degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, or a related field. Full proficiency in English + 1 additional language (French, Arabic, Spanish, German...). 6+ years of technical experience in data architecture or a closely related field. Proven track record in a consulting or multi-client services environment. TECHNICAL SKILLS DATA ARCHITECTURE &amp; PLATFORMS Proven hands-on experience designing large-scale data platforms: data lake, lakehouse, or warehouse architectures (Databricks, Snowflake, BigQuery, Azure Synapse, Redshift). Strong command of SQL and at least one of Python, Scala, or Spark for data processing and transformation. Experience with Big Data ecosystems: Hadoop, Spark, PySpark, Hive, or equivalent. Familiarity with streaming and real-time architectures (Kafka, Flink, Spark Streaming). AI &amp; ML INFRASTRUCTURE Proven hands-on experience with ML lifecycle tooling: MLflow, Kubeflow, SageMaker, Azure ML, or equivalent. Experience architecting MLOps pipelines: model versioning, CI/CD for ML, monitoring and drift detection. Exposure to GenAI and LLM integration patterns (RAG architectures, vector databases, prompt pipelines). DATA ENGINEERING &amp; DEPLOYMENT Proven hands-on experience with orchestration and transformation tools: Airflow, dbt, or equivalent. Proven hands-on experience with container technologies: Docker, Kubernetes. Proven hands-on experience with versioning software: Git, GitHub, GitLab. Proven hands-on experience deploying solutions in cloud ecosystems: AWS, Azure, or Google Cloud. GOVERNANCE &amp; STANDARDS Knowledge of data governance frameworks: data catalogs, lineage tracking, access control, and data quality management. Exposure to BI and data visualization platforms (Power BI, Tableau, Looker) and semantic layer design. INTERPERSONAL SKILLS Ability to step back, analyze complex problems, define architectural options, and drive decisions. Strong ability to work and collaborate with a variety of stakeholders across technical and business functions. Excellent communication skills with the ability to translate complex technical architectures into clear business implications. High autonomy, attention to detail, and ability to manage multiple client engagements simultaneously.</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Project description The international Luxoft Automotive team is seeking experienced Integrator Engineers specializing in Automotive area and familiar with Integration in Android and QNX platforms. The project team contribute to the development of next-generation In-Vehicle Infotainment (IVI) systems for electric vehicles. This role focuses on extending and customizing a user-friendly, feature-rich, and highly customizable integration and development process, which will combine a multinational team in one goal of creating a modern and rich IVI platform. Responsibilities Integrate Android/QNX software components, ensuring compatibility, functionality, and performance: Integrate 3rd parties into the main line Create delivery integration branch Merging changes from delivery branch to integration branch Building content with integration branch Creating dependency MR from integration to main Conflicts issue resolving Support for integrating new android components is also a responsibility Coordinate android integration activities with Platform team Collaborate with cross-functional teams including software developers, QA engineers and product managers to define integration requirements and deliverables. Identify and resolve integration issues, bugs, and performance bottlenecks. Manage and optimize the CI/CD pipeline to automate build, test, and deployment processes. Implement and maintain CI/CD tools and infrastructure, such as Jenkins. Monitor CI/CD pipeline performance, troubleshoot issues, and implement improvements. Stay up-to-date with the latest Android development trends, CI/CD practices, and automation tools. Skills Must have Jenkins, Groovy, GIT, Repo, Gitlab, Docker, CMake Operating Systems: i.e. Linux or Windows. Docker, Kubernetes Scripting Groovy, Python. Networking Version control: Gitlab/Bitbucket, GIT, REPO tool knowledge is required Project uses Gitlab on customer side and Bitbucket locally at Luxoft for version control CI systems: Jenkins, Gitlab CI Project uses Jenkins for CI pipelines, pipelines are written as shared libraries with Groovy Build tools: CMake, Soong, Ninja, Gradle Containers: Docker Project uses Docker to containerize all builds in CI Virtualization: KVM Project uses KVM together with Android emulator to run tests with Atest Understanding is a plus, but not mandatory Binary storage systems: Nexus, SharePoint Project uses Nexus/SharePoint to store build/release binaries Static Code Analysis, UT/Coverage: SonarQube Ticket system: Jira Project uses Jira for all task coordination activities Mandatory skills: Nice to have Software Architecture, Negotiation Skills, Adaptive AUTOSAR, Digital Cockpit with good logical thinking and good negotiation skills. Preferred to have a Digital Cockpit software project background. IVI/HMI software technical experience on SoC (Qualcomm 8155/8195/8255) Preferred to have a middle-layer standard stack configuration and SW integration-related project experience. Other Languages English: B2 Upper Intermediate Seniority Senior</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>Mandatory skills: Nice to have Software Architecture, Negotiation Skills, Adaptive AUTOSAR, Digital Cockpit with good logical thinking and good negotiation skills. Preferred to have a Digital Cockpit software project background. IVI/HMI software technical experience on SoC (Qualcomm 8155/8195/8255) Preferred to have a middle-layer standard stack configuration and SW integration-related project experience. Other Languages English: B2 Upper Intermediate Seniority Senior</p><p></p></section>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The <strong>Product Manager</strong> for <strong>CPaaS (Communications Platform as a Service)</strong> is responsible for driving the product strategy, roadmap, and execution for cloud-based communication services such as messaging (SMS, MMS, RCS), voice, video, and APIs. This role involves working closely with engineering, sales, marketing, and customers to ensure the development of innovative, scalable, and customer-centric communication solutions. The Product Manager will analyze market trends, identify new opportunities, and ensure the product meets business and technical requirements while staying ahead of the competition.</p> <p> <u>Responsibilities: </u> </p> <p> <strong>Product Strategy &amp; Roadmap:</strong> </p> <ul> <li>Define and execute the product vision, strategy, and roadmap for CPaaS solutions.</li> <li>Conduct market research, competitive analysis, and customer feedback collection to identify new opportunities.</li> <li>Prioritize features and enhancements based on business impact and customer needs.</li> </ul> <p> <strong>Product Development &amp; Execution:</strong> </p> <ul> <li>Work closely with engineering teams to define product requirements and technical specifications.</li> <li>Manage the product backlog, ensuring clear documentation of features, user stories, and acceptance criteria.</li> <li>Oversee the development lifecycle, from ideation to launch, ensuring timely and high-quality releases.</li> </ul> <p> <strong>Go-to-Market Strategy &amp; Sales Enablement:</strong> </p> <ul> <li>Collaborate with marketing and sales teams to develop go-to-market strategies and positioning.</li> <li>Provide product training and support for sales teams, ensuring they understand the value proposition and key features.</li> <li>Work with customer success teams to ensure seamless onboarding and adoption.</li> </ul> <p> <strong>Customer &amp; Stakeholder Engagement:</strong> </p> <ul> <li>Engage with customers, partners, and internal stakeholders to gather insights and validate product requirements.</li> <li>Address customer pain points by defining solutions that improve the user experience and increase adoption.</li> <li>Act as the primary product evangelist, presenting at industry events, customer meetings, and internal briefings.</li> </ul> <p> <strong>Performance Tracking &amp; Optimization:</strong> </p> <ul> <li>Define and monitor key performance indicators (KPIs) to measure product success.</li> <li>Analyze product performance and usage data to make data-driven decisions.</li> <li>Continuously iterate and optimize features based on feedback and performance insights.</li> </ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p> <strong>Degree of Education:</strong> </p> <ul> <li>Bachelor s degree in Computer Science, Engineering, Business, or a related field.</li> <li>MBA or equivalent is a plus.</li> </ul> <p> <strong>Total Working Experience:</strong> </p> <ul> <li>2 years of experience in product management, preferably in the cloud communications, telecom, or SaaS industry.</li> </ul> <p> <strong>Total Experience in Field:</strong> </p> <ul> <li>1 year of them experience in CPaaS, API-driven products, cloud communications, or related technologies.</li> </ul> <p> <strong>Qualifications Necessary for the Vacancy:</strong> </p> <ul> <li>Strong technical understanding of CPaaS platforms, APIs, and cloud-based communication technologies.</li> <li>Experience working in Agile/Scrum product development environments.</li> <li>Ability to translate customer needs into product requirements and user stories.</li> </ul> <p> <strong>Set of Skills Necessary for the Vacancy:</strong> </p> <ul> <li>Strong analytical and problem-solving skills.</li> <li>Excellent communication and stakeholder management skills.</li> <li>Ability to work cross-functionally with engineering, marketing, and sales teams.</li> <li>Experience with API product management, cloud platforms, and telecom technologies.</li> <li>Data-driven decision-making with experience using analytics tools.</li> </ul> <p> <strong>Specific Degrees, Certifications, etc. Needed for the Vacancy:</strong> </p> <ul> <li>Certified Scrum Product Owner (CSPO) or Pragmatic Institute certification is a plus.</li> <li>Experience with cloud platforms like AWS, Google Cloud, or Azure is beneficial.</li> <li>Knowledge of programming languages (Python, JavaScript, etc.) and API documentation tools is a plus.</li> </ul><p></p></section>

Our client is a UK-based Microsoft Gold Partner specialising in the design and delivery of innovative digital solutions for the non-profit sector. Since 2000's, the company has been serving organisations of all sizes (membership bodies, charities, fundraisers, societies, colleges, and regulatory bodies). As part of its continued growth, the company is strengthening its technology team in Egypt. We are recruiting on its behalf a QA Engineer M/F, working remotely with ad hoc office visits.<br>Responsibilities:The QA Engineer is responsible for ensuring the quality, reliability, and performance of web applications and software platforms, with a strong emphasis on end-to-end testing, UI/UX validation, load testing, and Microsoft Dynamics 365 (D365) solutions. Working closely with developers, designers, business analysts, and project managers, the QA Engineer plays a central role in maintaining the highest standards of software quality across enterprise-grade systems. Key responsibilities include:<br>Test Planning & Web Application Testing Design, implement, and execute comprehensive test plans and test cases for websites and web applications, ensuring coverage of functionality, responsiveness, accessibility, and visual fidelity. Evaluate website behaviour under real-world scenarios, including cross-browser and cross-platform usage, network throttling, and mobile responsiveness. Perform end-to-end UI/UX testing, validating layout consistency, interactive elements, design responsiveness, and alignment with UX specifications across multiple browsers and devices.<br>Performance & Load Testing Conduct load, stress, and performance testing using industry-standard tools such as JMeter, Load Runner, Blaze Meter, or Gatling to assess scalability and system stability. Identify performance bottlenecks and collaborate with the development team to drive resolution and optimisation.<br>Microsoft Dynamics 365 QALead QA efforts for implementations and customisations of Microsoft Dynamics 365 (D365), ensuring all workflows, plugins, and integrations function as intended. Validate custom entities, business rules, and D365 integrations against functional and technical specifications.<br>Test Automation & Defect Management Develop and maintain automated test scripts using tools such as Selenium, Cypress, Playwright, or similar frameworks, including UI testing automation. Manage test data creation and conduct database validation using SQL. Identify, log, and track software defects in Azure Dev Ops, including clear and detailed documentation of UI/UX issues. Collaborate closely with developers, designers, business analysts, and project managers to clarify requirements and ensure thorough test coverage across all project phases.<br><br>Candidate Profile:Education & Location Degree in Computer Science, Software Engineering, or a related technical field; equivalent professional experience considered. Based in Egypt, with availability for ad hoc office visits for team meetings and company events. ISTQB or other relevant QA certification is a plus.<br>Experience & Technical Knowledge5+ years of hands-on QA experience in web application and website testing, with deep knowledge of functional, regression, smoke, usability, and exploratory testing methodologies. Strong UX/UI proficiency and proven experience in performance and load testing using tools such as JMeter, Load Runner, or equivalent. Solid knowledge of Microsoft Dynamics 365 (D365): workflows, custom entities, and integrations with experience in Azure Dev Ops, Power Platform, or Microsoft Dataverse as a strong asset. Hands-on experience with test automation frameworks and scripting languages (Python, Java Script, or C#), combined with familiarity with Agile/Scrum methodologies. Exposure to security testing, API testing (Postman, REST-assured), mobile testing, or a background in Saa S and customer-facing portals is a plus.<br>Skills & Personal Attributes Exceptional attention to detail with a structured, methodical approach to quality assurance. Strong analytical and problem-solving skills, with a proactive mindset for identifying and resolving quality issues. Excellent communication skills and ability to collaborate effectively across cross-functional teams. Comfortable working autonomously in a remote environment while maintaining close collaboration with the wider team. Passion for continuous learning and staying current with evolving testing tools, technologies, and best practices.

Company Description Thirdwayv is a US-based tech company with a mission to take the anxiety out of IoT by securing every element in the system and all the devices connected. https://thirdwayv.com/Thirdwayv has already established a strong foothold with some of the top healthcare and medical industry players providing end-end security. At Thirdwayv, we deal with and harness the power of some of the exciting new technologies such as Blockchain, BLE, NFC, Trust Zone, TLS …etc. Mission & Vision Our objective is to comply with international standards (e.g., FDA - Food and Drug Association- approval) for thirdwayv products and achieve 100% coverage for customer requirements to ensure delivery of high-quality products with no significant issues on the customer side. Thirdwayv Egypt LLC is looking for a creative and innovative engineer who has a passion for learning and the drive to succeed. Thirdwayv offers you an amazing chance to be part of making an impact in a company with unique opportunities to grow and make a true difference.<br>Role Description:Understand and analyze customer requirements and high-level Design, including identifying any gaps or missing information needed to perform SW testing/Integration testing activities. Design and Integration SW test cases based on the customer design requirements. Implement test cases, scripts, and automation to verify that the software meets the customers and the high-level design requirements. Setup the Test Environment and verify it is working as expected before the start of the execution. Execute all types of testing (Function, Integration, Regression). Analyze the executed test cases and debug the failed/passed test results to confirm that the software behavior follows the requirement. Report findings (SW Bugs) on the defects management tool. Prepare and present test reports. Attend daily & weekly meetings to follow up and communicate work progress. Support, train, and mentor other colleagues whenever required. Participate in providing software test /integration test project estimations and technical risk assessment. Debug software/hardware issues by using debugging and validation tools. Participate in Process/ toolchain improvements. Review other team members' work products. Automate Integration of different tools in the testing toolchain. Improve the current process and current toolchain. Required Qualifications:Bachelor's degree in Communication, Mechatronics, Electronics, Computer Engineering, Computer Science, or related field in mobile application testing and development.1-3 years of relevant experience. Practical experience in applying testing techniques. Detailed-oriented with a critical eye. Practical knowledge of mobile operating systems such as i OS and Android. Well-versed with test automation frameworks like Selenium and Appium. Good knowledge of Embedded systems Architecture and Micro-controllers. SPI, I2C, and UART knowledge are required. Familiar with hardware testing and measurement tools. Certified ISTQB (Is a plus). Good knowledge of programming languages (Java, Python, C) Knowledge of test automation tools and techniques. Strong problem-solving and analytical skills. Solid understanding of the Agile Software Development Lifecycle (SDLC). Excellent command of English (spoken and written) Knowledge of pipeline integrations and CI/CD tools (Git, Jenkins) (Is a plus). Knowledge in JIRA integrated test management tools<br>Why Thirdwayv? Thirdwayv offers:A competitive package. Annual bonus scheme. Transportation allowance. Full medical insurance for employees and their families. Bonus for recognizing outstanding achievements. Compensation for optional working on official holidays. Compensation for unused vacations (Based on Employee request) Full financial support for training, courses, and tools for its employees to ensure its employees are updated with the latest technologies in the market Work from home policy. Team building and entertainment activities. Free in-house entertainment facilities, kitchen equipped with free coffee, tea, juices, fresh fruit, snacks, etc.

About the role<br>We are looking for a Senior Oracle DBA to own the health, performance, security, and availability of our database estate. The estate spans both current and legacy environments — Oracle AI Database 26ai and Autonomous Database on OCI, alongside Oracle Database 19c and 12c on-premise — and directly supports our Oracle APEX and ORDS application portfolio.<br>This is a hands-on role with a dual mandate: keep the existing production estate stable and secure, while planning and executing the upgrade and migration path to our current platform. You will work closely with the application development team, and be the final authority on database standards, backup and recovery, and production change.<br>Key responsibilities<br>Operations & availability<br><br>Install, configure, patch, and upgrade Oracle Database across 12c, 19c, and current releases. Own backup and recovery: design, implement, and — critically — regularly test RMAN backup strategies, restore procedures, and documented recovery runbooks. Manage high availability and disaster recovery (Data Guard, standby databases, failover/switchover testing, RTO/RPO adherence). Monitor database health, availability, storage, and capacity; act on alerts before they become incidents. Plan and execute database migrations and version upgrades with minimal downtime.<br><br>Performance<br><br>Diagnose and resolve performance issues using AWR, ASH, ADDM, SQL Trace, and execution plan analysis. Tune SQL, indexes, memory, storage, and instance parameters; partner with developers to fix problems at the source rather than masking them. Establish performance baselines and capacity forecasts.<br><br>Security & compliance<br><br>Manage users, roles, privileges, and least-privilege access control. Implement and maintain database security controls — auditing, encryption (TDE), data masking, and VPD / row-level security where applicable. Support audit and compliance requirements; maintain evidence and access records.<br><br>Cloud & platform<br><br>Administer Oracle Cloud Infrastructure (OCI) database services, including Autonomous Database (ATP/ADW) — provisioning, scaling, wallets, and network access control. Administer and support ORDS and the database layer underpinning our Oracle APEX applications (workspace provisioning, schema management, resource governance). Manage environments (DEV / TEST / PROD): refreshes, cloning, data subsetting, and environment parity.<br><br>Collaboration & governance<br><br>Partner with the development team on data modeling, schema design reviews, and PL/SQL performance. Define and enforce database standards, naming conventions, and change-control procedures. Own production change: review, schedule, and execute deployments and database releases. Document architecture, procedures, and runbooks. Mentor junior technical staff. Participate in an on-call rotation for production incidents.<br><br>Qualifications<br><br>Bachelor's degree in Computer Science, Information Technology, or a related field.5+ years of hands-on Oracle Database administration in production environments. Deep expertise in Oracle 19c, with working experience across 12c and newer releases. Expert-level backup and recovery using RMAN, including real-world restore and point-in-time recovery experience. Strong performance tuning capability: AWR / ASH / ADDM interpretation, execution plans, SQL and instance tuning. Solid SQL and PL/SQL — able to read, debug, and optimize application code, not just administer the instance. Experience with high availability and DR: Data Guard, standby configuration, and tested failover procedures. Experience with Oracle Cloud Infrastructure (OCI) and/or Autonomous Database. Strong Linux / UNIX administration and shell scripting. Database security fundamentals: privilege management, auditing, and encryption. Disciplined approach to change control, documentation, and production safety. Working proficiency in English; strong communication skills.<br><br>Preferred (nice to have)<br><br>Oracle Certified Professional (OCP) — Database Administrator. Experience administering databases behind Oracle APEX / ORDS applications. Oracle RAC, Exadata, or Grid Infrastructure experience. Golden Gate or other replication / CDC tooling. Automation and scripting beyond shell — Python, Ansible, Terraform, or similar. Experience with multi-tenant architecture (CDB / PDB) and pluggable database management. Monitoring and observability tooling (OEM / Cloud Control, Grafana, or equivalent). Prior experience executing a major version upgrade or on-premise-to-cloud migration end to end.

Global Knowledge is hiring a hands-on Platform Automation Engineering Lead to build a code-first, AI-enabled platform capability across Microsoft 365 and Azure, while establishing a reliable operating model for core network and connectivity services. This is a player-coach leadership role: you are accountable for platform outcomes and are expected to execute directly on the highest-risk, highest-value technical work. This role is more than M365/Azure administration. It owns how GK builds and runs platform automation as an engineering discipline: issues-to-code, policy-as-code, drift detection, agent-assisted delivery, MCP tool surfaces, and safe release patterns.<br>What You Will Own:Platform automation engineering strategy and delivery across M365, Intune, Azure, and core network services. Operational reliability and security posture for identity, endpoint, cloud, and connectivity layers. Configuration-as-code standards, CI/CD controls, and change governance for managed platforms. Agent-enabled platform delivery model (issue quality, PR quality, review discipline, and release safety). MCP/tooling layer that exposes governed platform capabilities to agents and automation flows. Service health, incident response, problem management, and continuous hardening cadence. Team outcomes for three platform engineers (M365/Intune, Azure, Network). Monthly executive reporting to CIO on platform health, risk, performance, and priorities.<br>Key Responsibilities:Lead the day-to-day platform engineering function spanning M365, Intune, Azure, and network operations. Define and execute a 12-month platform roadmap balancing reliability, security, modernization, and cost control. Own M365 and Intune engineering standards across identity, endpoint compliance, access policy, and governance. Own Azure engineering standards across landing zones, monitoring, security controls, backup/recovery, and platform services. Operate a code-first platform model where significant changes are designed, reviewed, tested, and released through versioned pipelines. Use AI-enabled engineering tooling to accelerate delivery while maintaining strict review and quality gates. Build or adopt MCP-compatible platform tool surfaces so agents can perform governed platform actions safely. Partner with network engineering to ensure resilient connectivity, secure access, and operational readiness. Drive incident and problem management discipline, including root-cause analysis and permanent fixes. Ensure all significant platform changes follow version control, peer review, and controlled release practices. Establish clear ownership boundaries and quarterly delivery goals for each direct report. Mentor and develop team capability while maintaining hands-on technical contribution<br>Required Qualifications:· 8-12+ years of experience in platform engineering, cloud engineering, or infrastructure engineering roles.· Demonstrated leadership of mixed platform teams and cross-domain operations.· Strong hands-on expertise in Microsoft 365 and Azure platform engineering.· Practical experience with Intune, identity and access controls, and endpoint governance.· Strong scripting and automation engineering capability (Power Shell and/or Python) with production delivery history.· Experience with API-driven platform operations, YAML/pipeline patterns, and configuration-as-code.· Proven history of shipping real AI-assisted engineering work in production environments.· Strong operational background in incident/problem/change management for production environments.· Ability to lead outcomes across teams without direct line authority.· Strong communication skills for technical, business, and executive audiences.<br>Preferred Qualifications:· Experience in Saa S, enterprise software, or multi-country operational environments.· Familiarity with infrastructure-as-code/configuration-as-code pipelines and policy-driven governance.· Experience with MCP, agent tooling, or secure platform tool exposure patterns.· Experience with Azure AI Foundry, Logic Apps, APIM, or related automation integration services.· Exposure to modern network security patterns and cloud connectivity architecture.· Relevant certifications across Azure, M365, security, or network engineering.<br>Ways of Working:· Outcome-based performance with clear quarterly commitments.· Player-coach leadership: direct technical execution combined with team development.· High accountability for uptime, security, and service quality.· Structured operating cadence over reactive firefighting.· Inclusive, respectful, and high-performance team culture.<br>Equal Opportunity:Global Knowledge is committed to fair and inclusive hiring. Applicants are encouraged to apply even if they do not meet every preferred qualification.

Job Summary As a Mobile IN / VAS Performance & Optimization Engineer, your role involves ensuring the optimal performance, availability, and efficiency of Intelligent Network (IN) and Value-Added Services (VAS) platforms. You will be responsible for monitoring service performance, analyzing KPIs, optimizing system resources, and supporting the delivery of reliable prepaid, charging, messaging, and value-added services while maintaining excellent customer experience. Key Responsibilities Monitor the performance, availability, and health of Mobile VAS platforms to ensure continuous service delivery and compliance with service level agreements (SLAs). Analyze network and service KPIs to identify performance degradation, service anomalies, and optimization opportunities across prepaid, charging, messaging, and value-added services. Perform root cause analysis (RCA) for performance issues, service degradations, and major incidents, and implement corrective and preventive actions. Optimize system configurations, platform parameters, and resource utilization to improve service quality, operational efficiency, and customer experience. Monitor infrastructure utilization, including CPU, memory, storage, database, and network resources, and recommend optimization actions. Perform capacity analysis, traffic trend evaluation, and growth forecasting to support network dimensioning, capacity planning, and expansion activities. Monitor service transactions, response times, success/failure rates, and international traffic KPIs to ensure optimal service performance. Validate platform performance following software upgrades, patches, configuration changes, and new service deployments. Configure, maintain, and optimize performance monitoring thresholds, statistical alarms, and automated alerting mechanisms. Develop dashboards, automate KPI reporting, and implement scripting solutions to enhance monitoring, performance analysis, optimization, and troubleshooting activities. Prepare daily, weekly, and monthly performance reports, SLA reports, governance dashboards, and executive summaries with actionable recommendations. Collaborate with Operations, Engineering, IT, Planning, and Vendor teams to resolve performance issues and support continuous service improvement initiatives. Support network readiness and performance optimization during special events and high-traffic periods (e.g., Ramadan, Hajj, World Cup, national events, and major campaigns). Document optimization activities, technical procedures, performance improvements, and best practices to ensure knowledge sharing and operational consistency. Ensure compliance with operational KPIs, service availability targets, governance standards, and customer experience objectives. Qualifications Bachelor's degree in Electronics & Communications Engineering, Computer Engineering, Telecommunications, Computer Science, or a related field.5- 7 years of experience in Mobile VAS or Telecom Service Platforms. Good understanding of VAS architecture and ecosystems. Knowledge of telecom service platforms including:Online Charging System (OCS) SMSCUSSD Gateway Antispam SMSCRing back Tone system Call completion services IVR Platforms Recharge Platforms Voucher Management Systems Campaign Management Platforms Other Mobile VAS platforms• Experience with prepaid charging and subscriber service management.• Knowledge of SS7, SIGTRAN, MAP, CAP, CAMEL, Diameter, SMPP, HTTP/HTTPS, and REST APIs.• Experience with KPI monitoring and performance analysis.• Familiarity with OSS Performance Management tools.• Basic knowledge of SQL and database administration.• Basic scripting skills (Python, Bash, or Shell scripting) are preferred.• Experience working with Linux/Unix operating systems.• Strong analytical and troubleshooting skills.• Excellent communication and teamwork abilities.• Proficiency in Microsoft Office applications. Preferred Skills Strong experience in Mobile VAS Platforms Mobile VAS Core nodes: (SMSC,USSDC, IVTR ANTISPAM , other VAS systems) Signaling protocols: SMPP, SS7, MAP, CAP, ISUP, BICC, SIP, Diameter Experience with Anritsu Master Claw Strong SQL, Unix Shell scripting, and database analysis skills Knowledge of telecom interfaces and call flows (IMS/VAS) Experience in KPI reporting, forecasting, and performance optimization Knowledge of Online Charging Systems (OCS) and Convergent Charging. Experience with Oracle, Postgre SQL, or MySQL databases. Familiarity with virtualization technologies such as VMware, Open Stack, Kubernetes, or Open Shift. Experience with Grafana, Prometheus, Kibana, Splunk, or other monitoring and reporting platforms. Understanding telecom service architecture and API integration. Experience in automation, reporting, and performance dashboard development. Knowledge of Digital Services, API Gateway, and Service-Based Architecture (SBA) is considered an advantage.

Role Overview:We are seeking highly skilled and motivated mathematicians with a strong understanding of intermediate to advanced mathematical concepts and the ability to apply these concepts creatively to complex problems. This role is ideal for individuals who thrive in tackling challenging questions and have a passion for deep mathematical reasoning and problem-solving. We are hiring both individuals who are strong in undergraduate level mathematics and as well as those who are strong in masters/PhD level mathematics. Turing works with most of the leading LLM companies in the world today and your work will enable today’s leading LLMs to attain advanced mathematics proficiency.<br>Key Responsibilities:Develop and implement advanced mathematical models and computational techniques to address complex problems across diverse mathematical domains. Collaborate with multidisciplinary teams on research initiatives, providing mathematical expertise and analytical insights. Review and engage with the latest mathematical literature, including cutting-edge research papers and emerging methodologies. Apply quantitative and computational approaches to analyze data, optimize models, and support innovative problem-solving strategies. Contribute to the advancement of research projects through rigorous mathematical reasoning and technical proficiency.<br>Desired Skills and Qualifications:Bachelor’s, Master’s, or PhD degree in Mathematics or a closely related field, with strong expertise in one or more of the following areas: computable functions and mathematical logic, algebra and number theory, linear algebra and matrix theory, topology and geometry, real analysis, probability, and statistics. Proven ability to solve complex mathematical problems, demonstrated through research experience, publications, academic achievements, or project work. Knowledge of Python and data analysis tools is preferred, though not mandatory. Excellent analytical and critical thinking skills, with strong attention to detail and problem-solving capabilities. Strong communication skills, with the ability to explain complex mathematical concepts to both technical and non-technical audiences. Collaborative mindset with experience working in multidisciplinary teams on research-driven or project-based initiatives.<br>More details on required skills:Candidates should demonstrate strong expertise in at least 4 of the following 7 domains, with broader coverage considered a significant advantage:Computable Functions and Mathematical Logic Strong understanding of the theory of computation, computable functions, decision problems, and strategies for inferring functions from input-output relationships. Algebra and Number Theory Deep knowledge of algebraic structures, quadratic forms, signatures, prime numbers, Eisenstein series, and related concepts in number theory and their applications. Linear Algebra and Matrix Theory Proficiency in linear spaces, basis transformations, symmetric matrices, matrix equations, matrix diagonalization, and rank-related conditions. Topology and Geometry Understanding of vector bundles, cohomology, fundamental groups, commensurability, topological spaces, vector fields, and geometric proof techniques. Analysis Strong foundation in real analysis, including properties of functions almost everywhere, convergence concepts, continuity, and advanced analytical reasoning. Probability and Statistics Ability to apply probability theory to evaluate outcomes under varying conditions, along with experience using statistical techniques such as ANOVA for experimental and data analysis. Applied Mathematics Capability to apply mathematical reasoning and problem-solving techniques to practical scenarios, including logic-based and analytical challenges.<br>Offer Details:Commitments Required: at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor<br>Evaluation Process:Shortlisted candidates will be sent a Job Interest Form. After the profile review, an assessment will be shared, which must be completed within 24 hours. Based on the assessment outcomes, shortlisted candidates will be contacted to schedule an interview.<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.

Role Overview:We are seeking highly skilled and motivated mathematicians with a strong understanding of intermediate to advanced mathematical concepts and the ability to apply these concepts creatively to complex problems. This role is ideal for individuals who thrive in tackling challenging questions and have a passion for deep mathematical reasoning and problem-solving. We are hiring both individuals who are strong in undergraduate level mathematics and as well as those who are strong in masters/PhD level mathematics. Turing works with most of the leading LLM companies in the world today and your work will enable today’s leading LLMs to attain advanced mathematics proficiency.<br>Key Responsibilities:Develop and implement advanced mathematical models and computational techniques to address complex problems across diverse mathematical domains. Collaborate with multidisciplinary teams on research initiatives, providing mathematical expertise and analytical insights. Review and engage with the latest mathematical literature, including cutting-edge research papers and emerging methodologies. Apply quantitative and computational approaches to analyze data, optimize models, and support innovative problem-solving strategies. Contribute to the advancement of research projects through rigorous mathematical reasoning and technical proficiency.<br>Desired Skills and Qualifications:Bachelor’s, Master’s, or PhD degree in Mathematics or a closely related field, with strong expertise in one or more of the following areas: computable functions and mathematical logic, algebra and number theory, linear algebra and matrix theory, topology and geometry, real analysis, probability, and statistics. Proven ability to solve complex mathematical problems, demonstrated through research experience, publications, academic achievements, or project work. Knowledge of Python and data analysis tools is preferred, though not mandatory. Excellent analytical and critical thinking skills, with strong attention to detail and problem-solving capabilities. Strong communication skills, with the ability to explain complex mathematical concepts to both technical and non-technical audiences. Collaborative mindset with experience working in multidisciplinary teams on research-driven or project-based initiatives.<br>More details on required skills:Candidates should demonstrate strong expertise in at least 4 of the following 7 domains, with broader coverage considered a significant advantage:Computable Functions and Mathematical Logic Strong understanding of the theory of computation, computable functions, decision problems, and strategies for inferring functions from input-output relationships. Algebra and Number Theory Deep knowledge of algebraic structures, quadratic forms, signatures, prime numbers, Eisenstein series, and related concepts in number theory and their applications. Linear Algebra and Matrix Theory Proficiency in linear spaces, basis transformations, symmetric matrices, matrix equations, matrix diagonalization, and rank-related conditions. Topology and Geometry Understanding of vector bundles, cohomology, fundamental groups, commensurability, topological spaces, vector fields, and geometric proof techniques. Analysis Strong foundation in real analysis, including properties of functions almost everywhere, convergence concepts, continuity, and advanced analytical reasoning. Probability and Statistics Ability to apply probability theory to evaluate outcomes under varying conditions, along with experience using statistical techniques such as ANOVA for experimental and data analysis. Applied Mathematics Capability to apply mathematical reasoning and problem-solving techniques to practical scenarios, including logic-based and analytical challenges.<br>Offer Details:Commitments Required: at least 4 hours per day and up to 40 hours per week with 4 hours of overlap with PST. Engagement type: Contractor<br>Evaluation Process:Shortlisted candidates will be sent a Job Interest Form. After the profile review, an assessment will be shared, which must be completed within 24 hours. Based on the assessment outcomes, shortlisted candidates will be contacted to schedule an interview.<br>After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.<br>Know amazing talent? Refer them at turing.com/referrals, and earn money from your network.