وظائف مهندسى امن معلومات في مصر

Microservices / . NET Backend & Data Architecture Engineer<br>Company Description Régisseur App is building the Operating System for the Global Entertainment & Hospitality Industry.<br>Our platform connects artists, entertainers, venues, event organizers, producers, promoters, vendors, and service providers into one unified ecosystem. We are developing an enterprise-grade platform covering talent management, venue operations, event planning, ticketing, secure payments, digital contracts, project collaboration, vendor management, and business networking.<br>As we scale our platform, we are building a highly reliable, distributed backend architecture capable of supporting millions of users, complex workflows, financial transactions, and real-time collaboration.<br>We are looking for a Microservices / . NET Backend & Data Architecture Engineer to design, develop, and optimize the core backend systems powering Régisseur App.<br><br><br>Role Overview The Microservices / . NET Backend & Data Architecture Engineer will be responsible for designing scalable backend services, defining data architecture patterns, implementing enterprise-level APIs, and ensuring the reliability, security, and performance of our distributed systems.<br>You will work closely with backend engineers, frontend developers, mobile developers, Dev Ops engineers, and product teams to build a robust technology foundation for a global platform.<br>This role requires deep expertise in . NET backend development, microservices architecture, distributed systems, database design, messaging infrastructure, and cloud-ready enterprise applications.<br><br><br>Key Responsibilities<br>Backend & Microservices Development Design and develop scalable microservices using C# / . NET Core / ASP. NET Core Build secure, high-performance RESTful APIs and backend services Define service boundaries following Domain-Driven Design (DDD) principles Implement scalable architecture patterns including:Microservices Event-driven architecture CQRSRepository patterns Dependency Injection Clean Architecture Develop reusable backend components and shared libraries Optimize backend performance, reliability, and scalability<br><br>Distributed Systems & Messaging Design asynchronous communication between services Implement messaging solutions using:Rabbit MQMessage queues Event buses Background workers Handle distributed transactions and eventual consistency Build reliable event-driven workflows for:Payments Notifications Booking systems Contracts User activities Business workflows<br><br>Data Architecture & Database Engineering Design and optimize enterprise database architectures Develop complex database solutions using:Postgre SQLSQL Server Redis caching NoSQL databases when required Design:Database schemas Data models Indexing strategies Query optimization Data migration strategies Ensure data integrity across distributed services<br><br>Financial & Transaction Systems Support architecture for Régisseur App’s financial ecosystem including:Secure payment workflows Transaction processing Revenue sharing Artist payouts Vendor payments Digital contracts Financial reporting systems Experience with financial systems, accounting platforms, or transaction-heavy applications is highly valuable.<br><br>API Security & Enterprise Standards Implement authentication and authorization systems:JWTOAuth2Identity providers Role-based access control (RBAC) Apply security best practices:Encryption Secure API design Data protection Audit logging Build systems compliant with enterprise security requirements<br><br>Cloud & Dev Ops Collaboration Work with Dev Ops teams to support:Containerized applications using Docker Kubernetes-based deployments CI/CD pipelines Cloud infrastructure (AWS / Azure / Google Cloud) Monitoring and observability:Logging Metrics Distributed tracing Performance monitoring<br><br>Required Qualifications5+ years of backend software engineering experience Strong expertise in:C#. NET Core ASP. NET Core Entity Framework Core Proven experience designing and building microservices architectures Strong understanding of distributed systems Experience with:Rabbit MQ or similar messaging systems REST APIsEvent-driven architectures Background processing Advanced SQL knowledge Strong Postgre SQL or SQL Server experience Experience designing scalable database architectures Understanding of software architecture principles and design patterns<br><br>Preferred Qualifications Experience building Saa S platforms or enterprise applications Experience with marketplace, booking, ticketing, or financial platforms Knowledge of:Domain Driven Design (DDD) CQRSEvent Sourcing Saga patterns Distributed caching Experience with payment systems and transaction processing Experience working with high-volume applications Cloud architecture experience (AWS/Azure/GCP) Experience mentoring backend engineers<br><br>Technical Stack Our backend ecosystem includes:Backend C#. NET 8 / ASP. NET Core Entity Framework Core REST APIsg RPCArchitecture Microservices Domain Driven Design CQRSEvent-driven systems Messaging Rabbit MQMessage brokers Background workers Databases Postgre SQLSQL Server Redis NoSQL solutions Infrastructure Docker Kubernetes CI/CDCloud platforms<br><br>What You Will Build You will contribute to core Régisseur App systems including:User identity and access management Artist and venue management services Event management engines Booking workflows Contract management Payment and transaction services Vendor management systems Notification infrastructure Reporting and analytics platforms<br><br>Why Join The Régisseur App? Build the technology foundation of a global entertainment and hospitality platform Work on complex real-world distributed systems Solve challenging problems across marketplace, finance, and event technology Collaborate with an international product and engineering team Opportunity to influence architecture decisions from the ground up<br><br>Employment Type: Contract Location: Remote / Hybrid Department: Engineering Reports To: Head of Engineering / CTO<br>Apply if you are passionate about building scalable backend systems that power the future of entertainment technology.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span><b>Who we are</b> <br></span><p>VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation. <br>As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability. <br>We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal. <br>#VOIS #BeUnrivalled #CreateTheFuture</p><br><br><br><b>About this Role</b> <br>We are seeking a Senior Data Engineer to design, build, and optimise scalable data solutions that enable effective use of large datasets. This role focuses on improving data systems, ensuring data quality and accessibility, and supporting informed decision-making across the business through reliable data platforms and insights.<br><br><br><b>What you’ll do</b> <br><ul> <li>Analyse and manage raw data across existing data collection systems, recommending improvements and enhancements</li> <li>Design, build, and implement new data collection and processing systems where required</li> <li>Ensure data systems are secure, scalable, and accessible to relevant stakeholders</li> <li>Maintain and document code for future upgrades, enhancements, and system maintenance</li> <li>Provide guidance, training, and support to stakeholders on newly implemented systems</li> </ul><br><br><b>Who you are</b> <br><ul> <li>Bachelor’s degree in Computer Science, Engineering, or a related field</li> <li>Proven experience (5+ years) in a similar data engineering role</li> <li>Strong expertise in data management (ETL), data modelling, visualisation tools (e.g., Tableau, Power BI), and data pipeline development Proficiency in</li> <li>SQL and experience in programming languages such as Python or Java</li> <li>Experience with Linux environments, shell scripting, and big data tools such as Hadoop and Spark</li> <li>Familiarity with cloud platforms (preferably AWS or GCP), data governance, and warehousing solutions</li> <li>Strong analytical thinking, problem-solving ability, and attention to detail</li> <li>Effective communication and stakeholder engagement skills</li> </ul><br><br><b>Not a perfect fit?</b> <br><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><br><br><br><b>What's in it for you</b> <br><ul> <li>Opportunity to work on large-scale, global data platforms and advanced analytics solutions</li> <li>Exposure to modern data technologies, cloud infrastructure, and big data ecosystems</li> <li>A collaborative environment that encourages innovation, learning, and continuous improvement</li> <li>Opportunities to contribute to high-impact business decisions through data-driven insights</li> </ul><br><br><b>What skills you will learn</b> <br><ul> <li>Advanced data engineering techniques and scalable system design</li> <li>Hands-on experience with cloud-based data platforms and big data tools</li> <li>Data governance, security, and compliance practices in enterprise environments</li> <li>Stakeholder engagement and translating business needs into technical solutions</li> </ul><br><br><b>VOIS Equal Opportunity Employer Commitment</b> <br><p>Vodafone&nbsp;recognises&nbsp;and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race,&nbsp;colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.&nbsp;</p><br><br><br><b>Join Us</b> <br><p>At Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this. <br>We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together. <br>With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p><br><br><br><b>Alert </b> <br><p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud. <br>#JDEnhancedByTARA</p><br><br><br><b>Follow us on social media</b> <br> <ul> <li>LinkedIn: https://www.linkedin.com/company/vois/</li> <li>Facebook:&nbsp;https://www.facebook.com/voisglobal</li> <li>Instagram: https://www.instagram.com/voisglobal/</li> <li>You can also chat with our employees to learn more about our projects:&nbsp;https://lnkd.in/dpkrcvR2</li> </ul> <br><br><br><br> </div>

نحن نبحث عن مهندس حلول ذي خبرة لتحديد وحوكمة بنية حلول الخدمات المصرفية الرقمية لدينا. سيقوم المرشح الناجح بتصميم أنظمة قابلة للتوسع وآمنة وعالية الأداء مع توفير القيادة التقنية عبر فرق عمل متعددة. المسؤوليات الرئيسية: تحديد بنية الحلول. قيادة ورش عمل التصميم التقني. وضع معايير التكامل وواجهات برمجة التطبيقات (API). دعم بنية السحابة والخدمات المصغرة (Microservices). ضمان قابلية التوسع والأمان وقابلية الصيانة. المؤهلات المطلوبة: خبرة لا تقل عن 8 سنوات في هندسة البرمجيات. خبرة لا تقل عن 3 سنوات في هندسة الحلول. خبرة في بنية الخدمات المصغرة. خبرة في بنية السحابة. يفضل وجود خبرة في القطاع المصرفي أو التكنولوجيا المالية (Fintech).

We are looking for a proactive Dev Ops Engineer with 1-3 years of experience to support the development, deployment, and maintenance of scalable applications and infrastructure. The ideal candidate should have hands-on experience with cloud platforms, CI/CD pipelines, containerization, and automation tools. Key Responsibilities Build, maintain, and optimize CI/CD pipelines. Manage cloud infrastructure and application deployments. Automate operational and deployment processes. Monitor system performance, availability, and security. Troubleshoot infrastructure and application issues. Collaborate with development teams to improve deployment efficiency and reliability. Implement Infrastructure as Code (IaC) and Dev Ops best practices. Requirements Bachelor's degree in Computer Science, Engineering, or a related field.1-3 years of experience in Dev Ops, Cloud Engineering, or System Administration. Strong knowledge of Linux and Git. Experience with CI/CD tools (Jenkins, Git Hub Actions, Git Lab CI/CD, Azure Dev Ops). Hands-on experience with Docker and basic Kubernetes concepts. Familiarity with AWS, Azure, or GCP. Experience with scripting languages such as Bash, Python, or Power Shell. Knowledge of Infrastructure as Code tools (Terraform preferred). Good problem-solving and communication skills.

We're looking for UPS Maintenance Engineer to support in one of the strategic projects in New Capital.<br>Key Responsibilities He inspects, diagnoses, and repairs broken circuits or non-functioning electronic parts and installs spare parts. Tests systems performance, analyzes and reports results. Conducts periodic maintenance checks and documents all details. Disassembles and assembles electronic parts. Conducts technical checks on new devices. Analyzes, reads and interprets technical data. Adheres to occupational safety and health rules specific to the specialty. He prepares a technical report on the repaired (device/card/unit), including the spare parts used. He prepares lists of constantly used spare parts and creates a storage plan for them in a way that does not hinder or disrupt the performance of work. Supervising maintenance on site.<br>Qualifications & Requirements Bachelor's degree in electrical engineering. Proven experience in a relevant field preferably in a facility management industry. Proven experience (2:4 years) in hands-on component-level electronic repair and field maintenance operations. Deep understanding of power electronics, UPS topologies, circuitry troubleshooting, and diagnostic equipment. Ability to strictly comply with military security protocols and rigorous site access safety rules.

Role Summary<br><br>We seek an architect-level Automation Framework Engineer to design, build, and scale enterprise automation frameworks across UI, API, document, and integration-heavy workflows. The ideal candidate brings hands-on experience designing frameworks for scale, security, and long-term stability as applications, teams, and delivery pipelines evolve. This role includes AI-assisted QA initiatives using Azure Open AI, Claude, and Azure Dev Ops integrations.<br><br>Key Responsibilities<br><br>Architect, build, and maintain scalable UI automation frameworks using Playwright and Selenium Design frameworks supporting multiple teams, applications, environments, and CI/CD pipelines Build reusable API and integration testing components (Postman, Graph QL, Pactum JS, REST clients) Support document-heavy and compliance-driven workflows (disclosure validation, OCR, document intelligence) Implement automation observability: logging, diagnostics, flaky test detection, and trend reporting Support AI-assisted automation: test generation, regression optimization, and failure triage<br><br>Requirements<br><br>Deep hands-on experience building and maintaining enterprise automation frameworks Advanced coding in Type Script, Java Script, or C#Strong experience with Playwright, Selenium, or similar frameworks Demonstrated CI/CD expertise, preferably with Azure Dev Ops Ability to provide real-world examples of framework design decisions and tradeoffs

Responsibilities Install, move, de-install customers’ hardware and Initial configuration of system OS as needed. Network and SAN cabling. Deploying and Operating the Monitoring systems. Installing all new Solution, Systems and solving all incompatibility problems. Problem management and troubleshooting for all the monitoring solutions problems. Implementing the monitoring solutions for all the infrastructure department systems. Deploying and operating the backup systems. Isolate server and network issues and rapidly and perform basic troubleshooting. Working with other technical teams and customers to solve technical problems if needed. Acting as on-call support for any problems escalation out of working hours according to schedule. Perform other duties as assigned by Management. Requirements Bachelor’s degree from a reputable university (Communications engineering or computer science background is preferred). Ambitious skilled Fresh graduates are welcomed up to 1” year of experience working in data centers or other critical environments. Good command of English language. Basic Windows OS implementation/administration. Basic Linux OS (Redhat-Centos) implementation/administration. Basic MS SQL Administration. Monitoring and data backup Applications good background. Basic servers’ hardware installing/racking knowledge. Technical Document writing. IT project management principals. Very good communication skills with a friendly customer-oriented manner. Very Good Presentation, analytical & Problem-Solving Skills. Ability to work under pressure and meet deadlines while handling multi-tasks at a time.

Responsibilities Install, move, de-install customers’ hardware and Initial configuration of system OS as needed. Network and SAN cabling. Deploying and Operating the Monitoring systems. Installing all new Solution, Systems and solving all incompatibility problems. Problem management and troubleshooting for all the monitoring solutions problems. Implementing the monitoring solutions for all the infrastructure department systems. Deploying and operating the backup systems. Isolate server and network issues and rapidly and perform basic troubleshooting. Working with other technical teams and customers to solve technical problems if needed. Acting as on-call support for any problems escalation out of working hours according to schedule. Perform other duties as assigned by Management. Requirements Bachelor’s degree from a reputable university (Communications engineering or computer science background is preferred). Ambitious skilled Fresh graduates are welcomed up to 1” year of experience working in data centers or other critical environments. Good command of English language. Basic Windows OS implementation/administration. Basic Linux OS (Redhat-Centos) implementation/administration. Basic MS SQL Administration. Monitoring and data backup Applications good background. Basic servers’ hardware installing/racking knowledge. Technical Document writing. IT project management principals. Very good communication skills with a friendly customer-oriented manner. Very Good Presentation, analytical & Problem-Solving Skills. Ability to work under pressure and meet deadlines while handling multi-tasks at a time.

Summary of role<br>The Java Developer works with the product and design teams to understand end-user requirements and use cases and translate them pragmatic and effective technical solutions Key responsibilities Shaping and implementing technology / business solutions to contribute to client organization’scompetitive differentiation▪ Uses various software development technologies to rapidly develop creative and efficient solutions thatenhance client organization’s technology stack▪ Collaborates with other team members to implement user stories, write tests, and continuously deliver new / improved product functionality▪ Communicates with internal IT teams to resolve technical dependencies during implementation<br>Background<br>Engineer I : 0-2 years of software development experience. Engineer II : 2-4 years of software development experience. Engineer III : 4-6 years of software development experience.<br>▪ Bachelor’s degree in computer science or similar, advanced degree preferred with outstanding record of academic achievement.▪ Experience working in JVM based programming languages like Java 8+, Kotlin and/or modern backend frameworks like Spring-Boot.▪ Significant experience writing, utilizing and securing RESTful API services in large scaledistributed applications.▪ Experience with microservice architectures, including understanding of service discoveryand circuit breakers.▪ Experience with relational and non-relational databases (e.g., Oracle, Postgre SQL,MySQL/Maria DB, Mongo DB, Couch DB, Cassandra, Elasticsearch … etc.).▪ Experience in build scripts Maven, Gradle, CI Jenkins and/or Azure Pipelines.▪ Experience in engineering practices such as code refactoring, design patterns, test driven development, continuous integration, building highly scalable applications, application security.▪ Experience in container technologies like Docker / Kubernetes a plus.▪ Experience in agile development methodologies▪ Knowledge in any other languages such as Node JS, Go-Lang, and/or Python a plus

Company Description Inklusiv is building the future of work by connecting smart teams with global talent to help organizations ship high-quality products faster. Clients can assemble or plug into pre-formed, vetted teams that cover product strategy, UX, backend engineering, and Dev Ops. This approach offers the benefits of an in-house team without the overhead, enabling flexible, scalable collaboration. Inklusiv focuses on seamless integration with client workflows and delivering reliable, outcome-driven solutions.<br>Role Description This is a full-time remote role for a Senior Full-Stack Engineer. In this position, you will design, build, and maintain end-to-end web applications, contributing to both frontend user interfaces and backend services. You will collaborate closely with product managers, designers, and other engineers to refine requirements, define technical solutions, and deliver features from concept to deployment. Daily responsibilities include writing clean, tested, and scalable code, reviewing peer work, optimizing performance, and ensuring security and reliability across the stack. You will also participate in architectural decisions, improve development workflows, and mentor other engineers in best practices.<br>Qualifications<br> Strong full-stack development skills with modern frontend frameworks (e.g., React, Vue, or similar) and backend technologies (e.g., Node.js, Python, or equivalent). Experience with API design and integration, including RESTful and/or Graph QL services. Proficiency in databases and data modeling (e.g., SQL, NoSQL) and familiarity with performance optimization. Knowledge of Dev Ops practices, cloud platforms (e.g., AWS, GCP, Azure), CI/CD pipelines, and containerization. Solid understanding of software architecture, design patterns, and code quality standards. Background in testing methodologies and tools (unit, integration, end-to-end) to ensure reliability and maintainability. Strong communication and collaboration skills, with the ability to work effectively in diverse, distributed teams. Experience mentoring other engineers and contributing to technical decision-making. Comfort working in a remote, fast-paced environment with changing priorities. Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Company Description Gate In Technology is a holistic integration provider of cutting-edge technologies, empowering innovation across Artificial Intelligence, Quantum Computing, Cybersecurity, Digital Forensics, and Intelligent Robotics. The company delivers advanced, end-to-end solutions tailored to forward-thinking businesses, government organizations, and educational institutions. Gate In Technology focuses on driving digital transformation and helping partners adopt emerging technologies that shape the future of industry and security. Team members collaborate on complex, real-world challenges, contributing to impactful technology solutions with global relevance. The work environment values innovation, technical excellence, and continuous learning.<br>Role Description This is a full-time, on-site Robotics Engineer role based in Giza. The Robotics Engineer will design, develop, and integrate intelligent robotic systems that support automation and advanced technology solutions for organizational and industrial applications. Day-to-day responsibilities include modeling and simulating robotic mechanisms, developing and testing control algorithms, and implementing software for real-time robotic operation. The role involves collaborating with cross-functional teams to gather requirements, validate system performance, troubleshoot issues, and refine designs based on testing and user feedback. The Robotics Engineer will also document technical specifications, support deployment and maintenance of robotic solutions, and stay current with emerging trends in robotics and automation.<br>Qualifications<br> <br>Candidates should possess strong skills in Robotics and Process Automation for designing, integrating, and optimizing robotic systems. Candidates should possess solid Analytical Skills to model systems, interpret data, and solve complex engineering and integration problems. Candidates should possess Software Development skills for implementing control algorithms, embedded systems, and automation workflows. Candidates should possess effective Communication skills to collaborate with multidisciplinary teams and present technical concepts clearly. Relevant qualifications include a bachelor’s degree or higher in Robotics, Mechatronics, Electrical/Mechanical Engineering, Computer Engineering, or a related field. Experience with control systems, sensors, actuators, industrial automation platforms, and common robotics frameworks (e.g., ROS) is beneficial. Knowledge of AI-based perception, path planning, and safety standards for robotic systems is an advantage. Ability to work on-site in Giza, manage multiple projects, and adapt to evolving technological requirements.

Company Overview:<br>Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.<br>Job Summary:<br>The Mid-Level Data Acquisition Engineer is an IoT/OT software engineer who independently delivers data acquisition integrations across building automation, industrial, and IoT environments, developing protocol connectors in Python, deploying and commissioning our edge data-acquisition platform in client and lab environments, and ensuring reliable, high-quality data ingestion.<br>Responsibilities:<br>Implement and extend protocol connector functionality (BACnet/IP, Modbus TCP/RTU, OPC-UA, MQTT, SNMP, REST) in Python, following the team's architecture and coding standards. Configure and optimize device discovery, polling strategies, subscriptions, batching, retries, and data transformation logic. Deploy and configure the Para Edge runtime, Docker-based services, and Kepware gateways in client and lab environments. Validate networking prerequisites (firewall rules, VLAN segmentation, DNS, NAT, routing) and troubleshoot protocol and communication issues using packet captures and device diagnostics. Lead standard commissioning activities: device discovery, ingestion verification, and mapping/metadata validation (tag naming, units, schemas, timestamps). Implement and maintain data-quality checks (freshness, completeness, correctness, schema compliance) and monitor connector health through dashboards and alerts. Execute OTA updates, manage container lifecycles, and verify runtime stability. Develop Python automation for configuration generation, mapping validation, deployment checks, and regression testing; write unit and integration tests for owned components. Produce clear deployment documentation, troubleshooting guides, and integration notes.<br>AI-Driven Engineering: AI is an integral part of our software development process and is expected to be used daily. The Mid-Level Data Acquisition Engineer should be comfortable using AI-powered engineering tools to assist with connector development, automation, debugging, testing, documentation, code reviews, and technical research. AI-generated outputs must always be validated to ensure they meet security, quality, reliability, and maintainability standards. <br>Requirements:<br>3–5 years of experience in software engineering, IoT/OT integration, smart buildings, or industrial systems. Solid Python engineering skills for production services and automation (beyond scripting). Hands-on experience with at least two of: BACnet/IP, Modbus TCP/RTU, OPC-UA, MQTT in real deployments. Good working knowledge of Linux, Docker, and edge/gateway environments; familiarity with IoT gateways such as Kepware. Strong networking fundamentals (TCP/IP, VLANs, firewalls, routing) and the ability to troubleshoot connectivity and data-transmission issues independently. Familiarity with Building Management Systems (BMS) and both IT and OT data sources. Experience with Git/Git Hub, CI/CD, and automated testing (pytest or similar). Daily, fluent use of AI-assisted engineering tools. Strong documentation skills; excellent problem-solving, attention to detail, and ability to work collaboratively with clients and cross-functional teams.<br>Nice to Have:Messaging systems (MQTT brokers/Rabbit MQ), time-series and document databases (Influx DB, Mongo DB), observability tooling (Grafana, Prometheus). Cloud familiarity (Azure preferred; AWS/GCP welcome) and relevant certifications (Azure Fundamentals/Administrator, AI-engineering credentials such as Anthropic Claude tracks). Exposure to OT security standards (ISA/IEC 62443).<br><br>** While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank you for your interest.

<section><p class="heading jdMain">وصف الوظيفة</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><div> <strong>عن بوستا: </strong> </div> <div>أُطلقت في 2017، بوستا هي مُموِّل تسليم فائق السرعة لشركات التجارة الإلكترونية في مصر. إن الاعتماد على التقنية لتمكين الأعمال هو ما نقوم به بشكل أفضل. هدفنا هو تعطيل صناعة اللوجستيات من خلال جلب التكنولوجيا والخبرة معًا لتوفير متجر واحد لحلول التوصيل.</div> <div>نحن نعتمد على تقنية متقدمة لتسليم الطلبات لعملائنا بسرعة. يمكن للشركات تتبع والتواصل مع السعاة والمتابعة على طلباتهم - كل ذلك في نظام واحد.</div> <div> </div> <div> <strong>رمز الوظيفة: </strong>-<span>Inc2026ENGI-154 </span> </div> <div> <div> مسؤوليات الوظيفة: <div> <div> <ul> <li>تصميم وإنشاء الخدمات وهندسة النظام لمشروعاتك، والمساهمة وتقديم الملاحظات لأعضاء الفريق الآخرين من خلال جلسات التصميم التقني.</li> <li>التعاون مع مهندسي الواجهة الأمامية في البناء وتقديم واجهات برمجة تطبيقات قابلة للتوسع لتُستهلك من قبل حلولنا المواجهة للعملاء.</li> <li>بناء وصيانة تكاملات API من طرف ثالث، جلب ومعالجة البيانات.</li> <li>العمل مع فرق المنتج والتصميم لمناقشة متطلبات فرق القيمة (بما في ذلك الأعمال والتسويق والمبيعات والعمليات اللوجستية)، فهم متطلبات المستخدم النهائي، صياغة حالات الاستخدام، ثم ترجمتها إلى ميزات قابلة للاستخدام وقابلة للتوسع.</li> <li>إيجاد التوازن الصحيح بين التقدم (أي الشحن بسرعة) والكمال (أي القياس مرتين). توجيه وتمكين مهندسين آخرين من حولك.</li> <li>تطوير وصيانة أنظمة خلفية عالية الأداء وقابلة للتوسع يمكنها التعامل مع أحجام حركة مرور كبيرة، مع ضمان سلامة البيانات وأمانها وموثوقيتها.</li> <li>المراقبة المستمرة وتحسين أداء أنظمة الخلفية، وتنفيذ التدابير المناسبة لضمان أقصى وقت تشغيل وتوافر النظام.</li> <li>التواصل الفعال مع أصحاب المصلحة، بما في ذلك أعضاء الفريق غير التقنيين، لضمان فهمهم للقرارات التقنية وتأثيرها على المنتج.</li> <li>قيادة الابتكار والمساهمة في نمو رؤية شركتنا من خلال إنشاء منتجات جديدة والتعاون بشكل وثيق مع فرق المنتج والتصميم.</li> </ul> </div> </div> </div> </div> <div> <div> مؤهلات الوظيفة: <div> <div> <ul> <li>من 1-3 سنوات من الخبرة كمبرمج خلفي (Backend).</li> <li>يفضل درجة البكالوريوس في علوم الحاسوب أو المجالات ذات الصلة.</li> <li>مهارات برمجة ممتازة في JavaScript، Node.js، Express والإطارات والتقنيات المرتبطة.</li> <li>الخبرة في إدارة قواعد بيانات NoSQL/محركات بحث مثل Redis، MongoDB، Elasticsearch، إلخ.</li> <li>الخبرة في بناء وتنفيذ خطوط CI/CD.</li> <li>الخبرة بتجارب A/B ونُشر Canary.</li> <li>معرفة بمنصات GCP، AWS، أو مقدمي خدمات سحابية مشابهين.</li> <li>معرفة بتقنيات الحاويات (Docker، Kubernetes).</li> <li>خبرة مُثبتة في إدارة نظام واسع يحتوي على مكونات متكاملة متعددة.</li> <li>القدرة على الدخول إلى كود قديم وفهمه بسرعة.</li> <li>مهارات حل مشكلات ممتازة.</li> <li>مهارات قيادية ممتازة.</li> </ul> </div> </div> </div> </div> <div> <div>قد نستخدم أدوات الذكاء الاصطناعي (AI) لدعم أجزاء من عملية التوظيف، مثل مراجعة الطلبات، تحليل السير الذاتية، أو تقييم الردود. تساعد هذه الأدوات فريق التوظيف لدينا لكنها لا_replace القرار البشري. القرارات النهائية للتوظيف تتخذ في النهاية من قبل الإنسان. إذا أردت مزيدًا من المعلومات حول كيفية معالجة بياناتك، يرجى التواصل معنا.</div> </div></div></section>

<section><p class="heading jdMain">وصف الوظيفة</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><p>نحن نبحث عن مهندس DevOps مدفوع للطموح لأتمتة بنيتنا التحتية وتوسيعها وتأمينها مع الترويج لأفضل الممارسات الهندسية عبر الفريق. ستتولى المكدس الكامل من هندسة السحابة إلى العمليات عند الطلب وتلعب دوراً رئيسياً في تشكيل ثقافة الهندسة في Bayzat. بعض المسؤوليات عالية التأثير التي ستوكل إليك:</p><ul><li>أتمتة الأدوات لتقليل الجهود المتكررة للعمليات</li><li>تطوير برامج عالية الجودة قابلة للتوسع وآمنة</li><li>بناء أدوات وتكاملات ترصد وتخلق تنبيهات</li><li>تكييف أفضل ممارسات السحابة</li><li>استكشاف أخطاء عبر المكدس الكامل - من البرامج إلى العتاد وإلى موارد السحابة</li><li>نشر ثقافة Dev-Ops عبر الشركة</li><li>تحسين مهاراتك التقنية والناعمة باستمرار</li><li><br></li></ul></div></section><section><p class="heading">الملف المرغوب للمرشح</p><p class="paragraph"></p><ul><li>خبرة 3+ سنوات في لغة برمجة واحدة على الأقل: Java أو Python أو Golang أو TypeScript</li><li>مهارات تواصل شخصية قوية باللغة الإنجليزية</li><li>درجة البكالوريوس في علوم الحاسوب/الهندسة أو مجال تقني ذات صلة</li><li>فهم قوي لأساسيات علوم الحاسوب مثل هياكل البيانات والخوارزميات</li><li>مهارات تصحيح أخطاء واستكشاف مشاكل قوية</li><li>خبرة وفهم قوي لـ Git</li><li>خبرة مع أنظمة شبيهة يونكس وبرمجة Bash</li><li>خبرة مع تعبئة التطبيقات باستخدام Docker</li><li>خبرة مع أدوات البنية التحتية كرمز (Terraform)</li><li>فهم أساسيات طبقة الشبكة</li><li>أساسيات AWS قوية مع خبرة عملية (EC2, S3, IAM, VPC وخدمات مرتبطة)</li><li>الإلمام بمنهجيات تطوير البرمجيات الرشيقة (Agile)</li><li>نهج للتميز التشغيلي</li></ul><p><strong>يفضّل:</strong></p><ul><li>الإلمام بتقنيات تنظيم الحاويات (Kubernetes، AWS ECS)</li><li>الإلمام بمفاهيم وأدوات CI/CD (GitHub Actions)</li><li>خبرة في بناء أدوات المطورين وتجربة المطور (DX)</li><li>القدرة والرغبة في توجيه وتدريب المهندسين</li><li>فهم عميق لمنهجيات الرصد والمرونة (Observability) من حيث الرصد والتسجيل والتتبع</li></ul><p></p></section>

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<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.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<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.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<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.

About Turing:Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L<br>Role Overview:We are looking for experienced Machine Learning Engineers (MLE Bench) to contribute to benchmark-driven evaluation projects focused on real-world machine learning systems. This role involves hands-on work with production-grade ML codebases, model training and evaluation pipelines, and deployment-oriented workflows to help assess and improve the capabilities of advanced AI systems. The ideal candidate is comfortable bridging research and engineering, working deeply with models, data, and infrastructure in realistic ML environments.<br>What does day-to-day life look like? Work with real-world ML codebases to support MLE Bench–style evaluation tasks. Build, run, and modify model training, evaluation, and inference pipelines. Prepare datasets, features, and metrics for ML benchmarking and validation. Debug, refactor, and improve production-like ML systems for correctness and performance. Evaluate model behavior, failure modes, and edge cases relevant to benchmark tasks. Write clean, reproducible, and well-documented Python code for ML workflows. Participate in code reviews to ensure high standards of engineering quality. Collaborate with researchers and engineers to design challenging, real-world ML engineering tasks for AI system evaluation.<br>Requirements:Minimum 3+ years of overall experience as a Machine Learning Engineer or Software Engineer (ML-focused). Strong proficiency in Python for machine learning and data workflows. Hands-on experience with model training, evaluation, and inference pipelines. Solid understanding of machine learning fundamentals (supervised/unsupervised learning, evaluation metrics, optimization). Experience working with ML frameworks (e.g., PyTorch, Tensor Flow, JAX, or similar). Ability to understand, navigate, and modify complex, real-world ML codebases. Experience writing readable, reusable, and maintainable production-quality code. Strong problem-solving and debugging skills. Excellent spoken and written English communication skills.<br>Perks of Freelancing With Turing:Work in a fully remote environment. Opportunity to work on cutting-edge AI projects with leading LLM companies.<br>Offer Details:Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. Engagement Type: Contractor assignment (no medical/paid leave) Duration of Contract: 3 months (adjustable based on engagement)<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.

وصف الدور الوظيفي<br><br>يتولى مهندس جافا القائد / المهندس الأول (Staff Engineer) مسؤولية واجهات برمجة التطبيقات (API) وقدرات التكامل وفرق العمل الخاصة بها. يجب أن يكون عضواً فعالاً في الفريق، يقدم الاستشارات بشكل نشط لحل المشكلات المعقدة بشكل مستقل ويضمن تبادل المعرفة.<br><br>المتطلبات<br><br>المسؤوليات الأساسية<br><br>▪ إعداد التصاميم التفصيلية (low-level designs) لأعضاء الفريق، بالتعاون مع مهندس الحلول/البرمجيات.<br><br>▪ توجيه فرق المشروع بشأن استراتيجية التكنولوجيا المتعلقة بممارسات البرمجة، والتكامل المستمر، والنشر الآلي. ▪ المشاركة العملية في البرمجة لمساعدة الفريق على تطوير الحلول وحل جميع المشكلات الطارئة وتحديد وإزالة العوائق التقنية.<br><br>▪ العمل كشريك فكري لمالك المنتج في إنشاء قصص المستخدم ومعايير القبول، والتواصل الفعال حول المقايضات مع المصممين.<br><br>▪ البحث المستمر عن طرق أفضل لحل المشكلات التقنية وتصميم الحلول، مع عدم التردد في تحدي الوضع الراهن.<br><br>▪ توفير خارطة طريق للفريق لتنفيذ ممارسات هندسة البرمجيات لتحقيق جودة أعلى للكود.<br><br>▪ رفع التقارير إلى مدير الهندسة الأول.<br><br>المهارات الرئيسية: خبرة من 6-8 سنوات، يُعتبر خبيراً في تطوير تكامل الأنظمة الخلفية وواجهات برمجة التطبيقات REST باستخدام إطار عمل Spring (Java/Kotlin)، والخدمات المصغرة (micro-services)، والأنظمة السحابية الأصلية (native-cloud).<br><br>▪ القدرة على المساعدة ودعم اتخاذ قرارات البنية التحتية على مستوى الفريق والمنتج. الخبرة في المجال:<br><br>▪ مطور برمجيات متمرس في Java، Kotlin، Spring-boot، Spring-cloud، Juni.<br><br>قواعد بيانات NoSQL، الذاكرة المؤقتة (In-memory cache)، بوابة واجهات برمجة التطبيقات (API Gateway)، أنماط التصميم (Design-Patterns)، سجلات النظام (Logging)، Spring Security، Maven، مع رؤية عميقة في أحدث التقنيات مثل Python.<br><br>▪ خبرة عملية في بيئات الإنتاج السحابية (Cloud) باستخدام Docker، وDevOps وCI/CD.<br><br>▪ يُفضل امتلاك خبرة في Azure Pipelines، Jenkins، Kubernetes، Open API، Gradle، وكتابة سكربتات Linux (shell-scripting).<br><br>▪ معرفة بأي لغات برمجة أخرى مثل Node JS، GoLang، و/أو Python تُعد ميزة إضافية. الخبرة في بيئات العمل الرشيقة (Agile/Digital):<br><br>خبرة في التطوير الرشيق (Agile Development)، ويُفضل وجود خبرة محددة كمهندس حلول (أو ما يعادلها).<br><br>▪ فهم العلاقة مع مالك المنتج، وسكروم ماستر، وفريق التصميم، وفريق الجودة.<br><br>▪ خبرة في إدارة الأولويات التقنية ضمن تراكم الأعمال (Backlog). المهارات الفردية:<br><br>▪ مهارات تواصل قوية مع القدرة على توحيد آراء المؤسسة حول القرارات التقنية المعقدة.<br><br>▪ مدرب وموجه نشط تهدف أهدافه إلى تنمية وتعظيم إمكانات الفريق.<br><br>▪ مهارات قيادية قوية، تتمثل بشكل أساسي في القدرة على الإلهام وبناء الفرق. العقلية والسلوكيات:<br><br>▪ شخص مفعم بالحيوية والشغف يلهم زملائه في الفريق للوصول إلى أقصى إمكاناتهم.<br><br>▪ متحمس لتجربة حلول جديدة خارج الأطر المعتمدة.<br><br>▪ يتبنى ثقافة الثقة، وحرية التفكير، والشفافية الكاملة. ▪ شجاع ومتمرد، ومستعد لتحدي الوضع الراهن.

<section><p class="heading jdMain">وصف الوظيفة</p><p class="heading">الأدوار والمسؤوليات</p><div class="paragraph"><p>تُعد Siemens Digital Industries Software شركة رائدة في توفير حلول تصميم ونمذجة وتصنيع المنتجات عبر العديد من الصناعات المختلفة. يتم تصميم وتصنيع سيارات فورمولا 1 وناطحات السحاب والسفن ومركبات استكشاف الفضاء والعديد من الأشياء التي نراها في حياتنا اليومية باستخدام برنامج إدارة دورة حياة المنتج (PLM) الخاص بنا.</p><p>نظرة عامة على المنصب: نبحث عن مهندس DevOps للانضمام إلى فريقنا في القاهرة، مصر. في هذا الدور، ستكون مسؤولاً عن الحفاظ على أنظمة إنتاج عالية التوفر وبيئات متكاملة كبيرة مع قيادة الأتمتة والابتكار عبر عمليات التطوير والإصدار. ستعمل إلى جانب مهندسين موهوبين، وتوجيه أعضاء الفريق وتقديم القيادة الفنية للمشروعات واسعة النطاق التي تؤثر على عملياتنا العالمية.</p><p>المسؤوليات الأساسية: الحفاظ على أنظمة إنتاج عالية التوفر وبيئات متكاملة كبيرة. تطوير وصيانة أدوات داخلية لأتمتة وتسهيل أنشطة التطوير والإصدار. قيادة مشاريع واسعة النطاق تقنياً مع توجيه وتحفيز أعضاء الفريق المعنيين. إدارة أطر التكامل المستمر، والمراقبة المؤسساتية، وإشعارات التنبيه. تقييم وتكامل ونشر أدوات طرف ثالث حديثة لفرق التطوير والاختبار والإصدار. التحقيق، المعاينة، وحل عيوب الأجهزة والبرمجيات بمهارات تصحيح الأخطاء وحل المشكلات الممتازة. تطوير حلول مبتكرة من خلال التحقيق في المشكلات وتطبيق الخبرة التحليلية.</p></div></section><section><p class="heading">الملف المرشح المطلوب</p><p class="paragraph"></p><p>درجة بكالوريوس في الهندسة الحاسوبية، علوم الحاسوب، أو مجال ذي صلة (الحد الأدنى للمعدل: جيد جدًا). أكثر من 3 سنوات خبرة في DevOps أو مجال ذي صلة. معرفة ممتازة بمفاهيم DevOps (CI، CD، CM، SCM). خبرة عملية بإدارة GitLab تعتبر ميزة. خبرة مع برامج إدارة الشبكات العريضة (مثال: AGE، LSF، Slurm) تعتبر ميزة. مهارات إدارة وتصحيح مشاكل Linux ميزة. معرفة بمعماريات التوفر العالي الشائعة ميزة. خبرة مع مجموعة واسعة من تقنيات المصادر المفتوحة (مثلاً Jenkins، Ansible، Puppet، Docker). مهارات تصحيح مشكلات وتحليل ممتازة، بما في ذلك القدرة على التحقيق والفصل وحل عيوب الأجهزة والبرمجيات. مهارات تحليلية ممتازة والقدرة على التحقيق في المشكلات وتطوير حلول مبتكرة. نهج يركّز على الخدمة، مع القدرة على أداء مهام متعددة وتغيير السياقات بسرعة والتعامل مع الانقطاعات بشكل فعال.</p><p></p></section>