Python Developer Jobs in Egypt
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<section><p class="heading jdMain">Job Description</p><p class="heading">Roles & Responsibilities</p><div class="paragraph"><p> <strong>Envision Employment Solutions</strong> is currently looking for a<strong> Senior Data Scientist - AI & 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 & 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 & 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 & 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 & 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 & 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 & 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>
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<b>Job Ad</b><p>We’re looking for a Software Engineer - Agentic Foundation to join Procore’s Product & 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 & 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. </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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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 & 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.
Job Title: Full-Stack Developer Reports to: Cofounder and Chief Technology Officer (CTO)_____________________________________________________________About Seek Cars:Seek Cars is a new startup that will revolutionize Automotive Decision-Making with AI. The new startup will is starting from Kingdom of Saudi Arabia to GCC, Egypt, Arabic Countries, then to all the world. Seek Cars is in the pre-seeding phase.<br>Role Summary:The Full-Stack Developer at Seek Cars. AI is responsible for designing, developing, and maintaining both frontend and backend components of the company's AI-powered automotive platform. This role will implement user interfaces, server-side logic, and database interactions that deliver a seamless and responsive user experience. The Full-Stack Developer will work collaboratively with the Lead Developer, AI/ML teams, and UX/UI designers to build robust and scalable applications that support the company's growth from initial launch in KSA through global expansion. Main Responsibilities• Develop and maintain frontend and backend components of web and mobile applications• Implement responsive user interfaces based on UX/UI design specifications• Build server-side logic, APIs, and database interactions• Integrate AI/ML capabilities into the platform's frontend and backend systems• Ensure cross-browser compatibility and responsive design• Write clean, maintainable, and efficient code• Perform unit testing and debugging to optimize application performance• Collaborate with cross-functional teams to define and implement new features• Participate in code reviews and contribute to development best practices• Implement security and data protection measures• Stay current with emerging technologies and development methodologies• Contribute to technical documentation and knowledge sharing• Support continuous integration and deployment processes• Troubleshoot and resolve application issues• Master AI tools and agents<br>Core Competencies:• Technical Expertise: Strong knowledge of frontend and backend technologies• Problem Solving: Analytical thinking and creative approach to development challenges• Attention to Detail: Precision in coding and implementation• Communication: Clear communication of technical concepts and ideas• Collaboration: Effective teamwork with developers and cross-functional teams• Time Management: Ability to manage multiple priorities and meet deadlines• Adaptability: Flexibility to learn new technologies and adapt to changing requirements• Quality Focus: Commitment to code quality and testing• User Orientation: Understanding of user needs and experience considerations• Continuous Learning: Dedication to staying current with development trends<br>Qualifications:• Bachelor's degree in Computer Science, Software Engineering, or related field• 3+ years of experience in full-stack development• Strong proficiency in frontend technologies (HTML, CSS, Java Script, React, Angular, or Vue.js)• Experience with backend development (Node.js, Python, Java, or similar)• Knowledge of database systems (SQL and NoSQL)• Familiarity with RESTful APIs and microservices architecture• Experience with version control systems (Git)• Understanding of responsive design and cross-browser compatibility• Knowledge of testing methodologies and tools• Experience with cloud services (AWS, Azure, or GCP) is a plus• Familiarity with AI/ML integration is desirable• Passion about cars and automotive is highly recommended<br>Key Performance Indicators (KPIs):• Code quality metrics and adherence to standards• Development velocity and sprint completion rates• Bug frequency and resolution time• Feature implementation timeliness and quality• Application performance and optimization metrics• Cross-browser and device compatibility• Contribution to code reviews and knowledge sharing• Technical documentation quality• Enhance percent of code reuse• Collaboration effectiveness with team members• Continuous learning and skill development<br>Experience Required:• Building responsive web and mobile applications• Implementing frontend frameworks and libraries• Developing backend services and APIs• Working with database systems and data modeling• Integrating third-party services and APIs• Implementing security best practices in application development• Working in agile development environments• UX/UI design and product management• Troubleshooting and debugging complex issues• Staying current with development technologies and trends
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.
Employer Overview The company is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. They have evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. They offer 3 services to their global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights, and Resource Scaling.<br>Job Summary This role will give you the opportunity to design and shape the technical foundation of our Analytics & AI practice, working on high-impact client engagements across industries. As our Analytics & AI Architect, you will sit at the intersection of data engineering, analytics, data science, and AI, defining the standards, frameworks, and architectures that our teams build upon.<br>Key Responsibilities:You will lead the technical architecture of Data, Analytics, and AI solutions for our clients, covering the full lifecycle from design to deployment:<br>Architecture & 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.<br>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.<br>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.<br>Other Provide internal training and knowledge-sharing sessions with the team. Support the Head of Practice on business development and internal capability initiatives.<br>Qualifications Education & Professional Experience: Bachelor'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.<br>Technical Skills:Data Architecture & Platforms Proven hands-on experience designing large-scale data platforms: data lake, lakehouse, or warehouse architectures (Databricks, Snowflake, Big Query, 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).<br>AI & ML Infrastructure Proven hands-on experience with ML lifecycle tooling: MLflow, Kubeflow, Sage Maker, Azure ML, or equivalent. Experience architecting MLOps pipelines: model versioning, CI/CD for ML, monitoring and drift detection. Exposure to Gen AI and LLM integration patterns (RAG architectures, vector databases, prompt pipelines).<br>Data Engineering & 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, Git Hub, Git Lab. Proven hands-on experience deploying solutions in cloud ecosystems: AWS, Azure, or Google Cloud.<br>Governance & 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.<br>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.
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<span>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. Position Overview: Join the Calibre Product Management Team as a Product Engineer and shape the future of semiconductor design and verification tools. You'll bridge the gap between customers, field engineers, and our software development teams, delivering expert technical support and driving product innovation. This role is ideal for both experienced professionals and fresh graduates who are passionate about semiconductor technology and want to make a direct impact on how our industry-leading tools evolve. You'll work on the Calibre LSG product, analyzing market needs, defining product enhancements, and developing solutions that address real customer challenges. Key Responsibilities: • Provide expert-level technical support and deliver comprehensive training to customers and Application Engineers • Drive product innovation through direct interaction with software engineering teams, field engineers, and customers • Lead customer engagement by effectively communicating product value propositions and benefits • Analyze market needs and identify opportunities for product enhancements • Define and characterize new tool capabilities and develop prototypes • Develop and document product requirements based on customer feedback and market analysis • Collaborate with cross-functional teams to ensure successful feature implementation • Create and maintain technical documentation and training materials Required Qualifications Education: BS/MS in Electrical Engineering, Electronics Engineering, or a related field. Technical Requirements: Basic knowledge of design and physical verification. Prior experience with or knowledge of CAD tool usage and/or development. Prior knowledge of semiconductor manufacturing and process engineering is preferred. Strong scripting skills (e.g., Shell scripting and Python) for automation and workflow management in UNIX/Linux environments. Familiarity with AI concepts and an understanding of their potential applications in semiconductor design and verification is preferred. Both experienced professionals and fresh graduates are encouraged to apply. Professional Competencies: Exceptional problem-solving and analytical skills. Excellent verbal and written communication and presentation skills. Strong team player with a collaborative mindset. Outstanding customer and AE relationship management skills. Fluency in English. Ability to adapt to dynamic work environments. Strong self-motivation and a goal-oriented mindset. 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 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. Compensation & Benefits The salary range for this position is $33,500 to $67,000 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/ Location Cairo, Egypt Siemens Software. Transform the Everyday #LI-Hybrid #LI-EDA</span> </div>
Role Summary We're looking for a hands-on Dev Ops Engineer who wants to help operate the infrastructure behind a fast-moving regulated fintech. You'll work across cloud infrastructure, Kubernetes, CI/CD, monitoring, logging, vulnerability management, and incident response.<br>This role requires someone who can help make our platform reliable, secure, observable, repeatable, and auditable as we build Egypt’s digital lending future.<br>Key Responsibilities Infrastructure & Kubernetes Operations (30%) Support day-to-day operation of our infrastructure Work with Kubernetes clusters, workloads, and networking Help maintain production and non-production environments with proper separation and controls Monitor cloud resources, cluster health, capacity, availability, and resource utilization Troubleshoot infrastructure, networking, DNS, load balancing, and cluster issues Assist with cluster upgrades, node pool changes, scaling, and platform improvements<br>Deployments, CI/CD & Developer Platform (25%) Maintain and improve CI/CD pipelines used by engineering teams Support safe deployments, rollouts, and rollbacks across staging and production Help troubleshoot failed builds, failed deployments, image issues, secrets/configuration problems, and runtime errors Manage repositories, permissions, branch protection, CI/CD integrations, and package/image hosting controls Support secure handling of deployment credentials, CI/CD secrets, access tokens, and build artifacts Make deployment processes more reliable, repeatable, and auditable Work with developers to improve operational readiness and remove bottlenecks<br>Monitoring, Logging & On-Call Support (20%) Maintain and improve monitoring and observability Support centralized logging and investigation workflows Create and maintain useful dashboards for infrastructure, Kubernetes, applications, databases, and other platform services Tune alerts so they are actionable and routed to the right owners Participate in on-call rotations and incident response processes Triage platform alerts and coordinate with the appropriate engineering or product team when an issue belongs to them Help maintain runbooks, escalation paths, incident timelines, and post-incident follow-up actions<br>Operational Security (25%) Support operation of our SIEM platform Operate regular and on-demand vulnerability scans and reviews Support configuration compliance and reporting Assist with evidence collection for audits, regulatory reporting, vulnerability assessments, and security reviews Escalate high-risk findings, failed scans, non-compliant systems, and unresolved remediation items Manage secrets across Kubernetes, CI/CD, and our secrets management platform Manage certificate issuance, renewal, deployment, and troubleshooting Manage of SSH keys, service accounts, API keys, and other operational credentials Follow least-privilege and access control practices for infrastructure and developer tooling Support access reviews and audit evidence for platform systems where needed Help identify risky configurations, expired credentials, excessive permissions, and operational security gaps<br>Qualifications Education: Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field Experience: 3-4 years in Dev Ops, infrastructure, cloud operations, platform engineering, or similar roles Experience in fintech, financial services, or another regulated industry is highly preferred Strong Linux administration and troubleshooting skills Hands-on experience with Docker and Kubernetes Experience with CI/CD pipelines and deployment automation Understanding of cloud networking, DNS, load balancing, firewalls, NAT, TLS, and security controls Experience with monitoring, logging, alerting, and incident response Comfortable writing scripts and automation using Bash, Python, Type Script, or similar tools Fluent Arabic and professional English<br>Technical Skills Cloud: Operating production infrastructure on Huawei Cloud or similar cloud providers Kubernetes: Deployments, services, ingress, secrets, config maps, scaling, troubleshooting, and cluster operations CI/CD: Git Hub Actions or similar systems, deployment pipelines, build automation, and rollback procedures Observability: Prometheus, Grafana, Open Search, dashboards, logs, metrics, and alerting Security Operations: SIEM basics, CIS benchmarks, vulnerability scanning, and incident escalation Networking: DNS, routing, firewalls, load balancers, NAT, private networks, TLS, and service connectivity Secrets & Access: Secrets management, certificates, SSH keys, service accounts, and least-privilege practices
About noon <br>We’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for a Cloud Security Engineer who can help us move even faster.noon’s mission: Every door, every day.<br>What you'll do:Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward. Noon's Group Cybersecurity is looking for a Security Engineer, Cloud & Operations to join our Cloud Security team. This is a hands-on engineering role, you will build cloud-native detections that catch real attacker behavior in GCP, deploy preventive controls at org scale, and investigate the SOC alerts your own detections generate. You write the detection rule, you investigate the alert it fires, and you convert findings into durable controls or tooling that prevents recurrence. We hire engineers who build, not analysts who configure. Build and maintain cloud detection rules in SIEM and EDR including GCP-specific attack paths, and managing them through sandbox validation, retro hunts, false-positive elimination, and risk-scoring alignment. Design and deploy preventive WAF and cloud security controls Investigate security alerts and incidents from the SOC, determine root cause, support remediation with engineering teams, and reduce noise through systematic detection tuning and exemption strategies. Build and maintain internal cloud security tooling, security scanning pipelines, shipping cross-project services that scale across the group. Triage and tune EDR alerts, including detection policy adjustments, response workflow automation, playbook contributions, and endpoint investigation support. Build incident response automations based on established playbooks, including containment workflows, IR actions and isolation responses. Surface cloud security misconfiguration and work with engineering teams on IAM to right-size access without disruption. Partner with Dev Ops, IT, Product Security, and Offensive Security teams to operationalize cloud restrictions, onboard new environments, validate security controls, and provide evidence for compliance and audit requirements.<br>What you'll need:2 to 4 years of experience in cloud security, detection engineering, security operations, or software engineering with a security focus. Hands-on experience with GCP security fundamentals: IAM, org policies, service accounts, Cloud Storage, Cloud Build, Cloud Run, or equivalent depth on another major cloud provider. Practical experience writing or maintaining detection rules in a SIEM platform (Splunk, Google Sec Ops, or similar), including rule authoring, testing, and false-positive management. Ability to investigate security alerts end-to-end: from initial triage through root-cause analysis, evidence collection, and supporting remediation efforts with relevant teams. Familiarity with at least one EDR platform (Crowd Strike Falcon or similar), including alert triage and basic detection tuning. Clear communication skills with the ability to document findings, write incident reports, and coordinate with cross-functional teams without requiring executive escalation. Comfortable working across multiple environments (production, staging, sandbox) and geographies with structured processes and attention to operational impact. Software engineering background preferred - production-quality coding capability in Python, Go, or similar. We want someone who builds tools and services. Experience in product-first, consumer internet, e-commerce, fintech, or marketplace environments - preferred<br>Who will excel? We’re looking for people with high standards, who understand that hard work matters. You need to be relentlessly resourceful and operate with a deep bias for action. We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential.
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<strong>Internal Audit Lead - Financial Crime</strong><br><strong>Department: </strong>Internal Audit<br><strong>Employment Type: </strong>Full Time<br><strong>Location: </strong>Egypt<br><strong>Description</strong><br>The Lead Auditor - Financial Crime & Compliance is responsible for leading and delivering audits across financial crime and compliance domains, including AML, CTF, sanctions, fraud prevention, and customer due diligence (CDD/KYC/KYB), as well as key compliance-owned processes.<br>The role focuses on independently assessing the effectiveness of financial crime prevention frameworks, regulatory compliance programs and governance structures, including compliance monitoring, regulatory change management and horizon scanning processes in line with CBUAE expectations.<br>This position requires deep expertise in financial crime compliance and regulatory frameworks, combined with strong investigative and data analytics capabilities. The individual will take end-to-end ownership of audit engagements and provide actionable insights to strengthen the overall compliance and control environment.<br><strong>Key Responsibilities</strong><br><strong>Financial Crime & Compliance Audits</strong><br><ul><li>Lead and deliver end-to-end audits across financial crime and compliance processes, including AML, CTF, sanctions, fraud prevention, and customer due diligence (CDD/KYC/KYB).</li><li>Independently plan and execute audit engagements using a risk-based approach, covering both first and second line controls.</li><li>Evaluate the design and operating effectiveness of financial crime frameworks in line with CBUAE regulations, internal policies and international best practices.</li><li>Assess compliance-owned processes, including:<ul><li>Regulatory horizon scanning and emerging risk identification</li><li>Regulatory change management and implementation tracking</li><li>Compliance monitoring and testing programs</li><li>Policy governance, review cycles and control oversight</li><li>Management information (MI) and reporting to senior management and regulators</li></ul></li><li>Identify control gaps, thematic risks, and opportunities to strengthen financial crime prevention and compliance frameworks.</li><li>Conduct deep-dive and thematic reviews across high-risk areas such as transaction monitoring, sanctions screening and customer risk profiling.</li><li>Stay current on regulatory developments, enforcement actions, and emerging financial crime risks impacting the organization.</li></ul><br><strong>Forensic Reviews & Investigations</strong><br><ul><li>Lead or support forensic reviews into suspected financial crime, fraud or control breaches.</li><li>Analyze complex datasets and case information to identify suspicious patterns and potential control failures.</li><li>Coordinate with compliance and risk functions while maintaining audit independence and objectivity.</li></ul><br><strong>Data Analytics & Continuous Monitoring</strong><br><ul><li>Apply advanced data analytics to identify anomalies, control weaknesses and emerging risks across financial crime and compliance processes.</li><li>Assess the use of data within compliance monitoring, including MI quality, completeness and timeliness.</li><li>Support the development of continuous auditing and monitoring capabilities across financial crime and compliance areas.</li></ul><br><strong>Reporting & Stakeholder Engagement</strong><br><ul><li>Report audit outcomes to the Head of Internal Audit, providing clear, risk-based conclusions and practical recommendations.</li><li>Prepare concise, high-quality audit reports and communicate findings effectively to senior management.</li><li>Build strong relationships with key stakeholders, influencing change and driving timely remediation of audit findings.</li></ul><br><strong>Skills, Knowledge and Expertise</strong><br><ul><li>Bachelor's degree in Forensic Accounting, Finance, Economics, Law or a related discipline; advanced degree is an advantage.</li><li>7+ years of experience in internal audit, financial crime compliance or forensic investigations within banking, fintech or regulated financial services.</li><li>Strong knowledge of AML/CFT, sanctions, fraud risk management and CBUAE financial crime and compliance regulations.</li><li>Solid understanding of compliance frameworks and second-line responsibilities, including horizon scanning, regulatory change management and compliance monitoring.</li><li>Proven experience auditing or assessing financial crime and compliance programs, including governance, policy frameworks and regulatory reporting.</li><li>Advanced data analytics capabilities, with proficiency in tools such as SQL, Python, Power BI, Tableau, or similar.</li><li>Relevant certifications such as CAMS, CFE, CFF, CIA, or CISA are strongly preferred.</li><li>Strong investigative mindset with the ability to analyze complex issues and identify root causes of control weaknesses.</li><li>Excellent communication and stakeholder management skills, with experience engaging Compliance, Risk and senior leadership.</li><li>High level of professional skepticism, integrity and discretion when handling sensitive information.</li><li>Ability to operate independently, manage multiple priorities and deliver in a fast-paced, regulated environment.</li><li>Fluency in English is a MUST.</li></ul><br><strong>Benefits</strong><br><ul><li>Flexible working model with trust and autonomy from day one.</li><li>A high-growth environment with ownership and responsibility that will accelerate your career.</li><li>Participation in the company's employee stock options program.</li><li>Comprehensive health insurance.</li><li>Flexi Perks: a monetary benefit to spend on what matters most to you - health, well-being, education, or professional development.</li></ul><br> </div>