platform engineer

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Your day-to-day missions
 </li>
 <li>
 You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
 </li>
 <li>
 You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
 </li>
 <li>
 You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
 </li>
 <li>
 You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
 </li>
 <li>
 You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.
 </li>
 <li>
 Occasional missions and example projects
 </li>
 <li>
 You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
 </li>
 <li>
 You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
 </li>
 <li>
 You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.
 </li>
 <li>
 Skills you will develop This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.
 </li>
 <li>
 Benefits of the role You will work at the heart of Orange Business&rsquo; AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.
 </li>
 <li>
 Career perspectives In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.
 </li>
 <li>
 The team You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Experience and education |You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor&rsquo;s or Master&rsquo;s degree (or equivalent) in computer science, engineering or a related field.
 </li>
 <li>
 Your hard skills
 </li>
 <li>
 Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
 </li>
 <li>
 Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
 </li>
 <li>
 Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
 </li>
 <li>
 Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
 </li>
 <li>
 Understanding of security, reliability and performance considerations for production platforms.
 </li>
 <li>
 Your soft skills You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

AI Platform Engineer

Aspire, Jordan

<div>
 
 We are looking for
 
 AI Platform Engineers
 
 to build and maintain core LLM-powered services and APIs to power the next generation of online learning tools. On this team, you&rsquo;ll design and implement services and infrastructure that will allow our feature teams to rapidly develop and deploy LLM-powered features that improve the teaching and learning experience of tens of millions of people around the world while maintaining our high standards for performance, security, and reliability.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from our product teams;
 
 
 Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing;
 
 
 Create developer tooling and documentation that makes integration with your services intuitive and easy;
 
 
 Establish best practices for AI and LLM use at Instructure, considering things like auditability, cost, and performance;
 
 
 Collaborate with feature teams to understand their needs and solve them with platform capabilities;
 
 
 Design, develop, and maintain scalable and performant APIs;
 
 
 Write clean, maintainable, and well-documented code;
 
 
 Participate in code reviews and provide and receive constructive feedback
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 What You&rsquo;ll Need
 
 
 <ul>
 <li>
 Prior software engineering experience with API design and distributed system development;
 </li>
 <li>
 Strong experience building backend services and REST or GraphQL APIs;
 </li>
 <li>
 Knowledge of API design best practices around security, performance monitoring, rate limiting, and more;
 </li>
 <li>
 Understanding of LLM integration and usage patterns;
 </li>
 <li>
 Strong collaboration and written and verbal communication skills;
 </li>
 <li>
 Past experience with cloud infrastructure, preferably on AWS;
 </li>
 <li>
 Experience with Node.js or a desire to learn;
 </li>
 <li>
 Experience with TypeScript or a desire to learn;
 </li>
 <li>
 Background in developer tooling and API documentation is preferred.
 </li>
 </ul>
 
 
</div>

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5221
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 For our location in Cairo, we are looking for an experienced
 
 Platform Software Engineer
 
 that, with the company headquarters in Wildpoldsried (Germany), you will work in a distributed team from our office in M&aacute;laga (Spain).
 
 
 The &ldquo;ECU&rdquo; (Electronic Control Unit) team develops the control unit of each sonnenBatterie.
 
 
 
 Overview
 
 
 
 We are seeking a highly skilled Platform Software Engineer to join our team. The ideal candidate will have a strong background in software engineering and linux administration in Embedded Systems.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop and maintain software solutions.
 </li>
 <li>
 Write clear and concise documentation for code and system functionality.
 </li>
 <li>
 Adhere to best practices in code style, testing, and version control.
 </li>
 <li>
 Debug and resolve issues in development and production environments.
 </li>
 <li>
 Develop and manage containerized applications using Docker.
 </li>
 <li>
 Monitor system performance and ensure system security.
 </li>
 <li>
 Automate tasks and processes using scripting languages.
 </li>
 <li>
 Administer and manage Linux-based embedded systems.
 </li>
 <li>
 Implement and manage basic CI/CD pipelines using tools like GitLab CI and GitHub Actions.
 </li>
 <li>
 Assess/Integrate third-party and open source software.
 </li>
 <li>
 Work with embedded communication interfaces and network protocols.
 </li>
 <li>
 Create and manage root filesystems for embedded devices.
 </li>
 <li>
 Develop, configure and integrate device drivers and other linux kernel components.
 </li>
 <li>
 Interface with hardware design and development.
 </li>
 <li>
 Collaborate with cross-functional teams to design and implement system architecture.
 </li>
 <li>
 Provide technical support and guidance to team members.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Programming experience in system languages such as C or C++.
 </li>
 <li>
 Experience in scripting languages like shell and Python.
 </li>
 <li>
 Experience with object-oriented programming, design patterns, and software architecture patterns.
 </li>
 <li>
 Strong understanding of code compilation (qmake, cmake), debugging tools (gdb, strace), profiling (perf), and software integration, especially in embedded systems.
 </li>
 <li>
 Familiarity with version control systems, particularly Git.
 </li>
 <li>
 Familiarity with Linux-based operating systems and system administration tools (systemd).
 </li>
 <li>
 Experience in hands-on development and troubleshooting on embedded targets.
 </li>
 <li>
 Knowledge of root filesystem build tools such as chroot, multistrap, Buildroot or Yocto.
 </li>
 <li>
 Experience with kernel development for Linux (drivers, device tree, patches).
 </li>
 <li>
 Familiarity with bootloaders like U-Boot or Barebox.
 
 
 </li>
 </ul>
 
 Nice To Have Qualifications
 
 
 
 <ul>
 <li>
 Understanding of some of these network protocols: MQTT, SSH, DNS, SSL/TLS.
 </li>
 <li>
 Basic understanding of some of these embedded protocols: UART, I2C, SPI, Modbus, or CAN.
 </li>
 <li>
 Experience with Docker and container management.
 </li>
 <li>
 Knowledge of infrastructure monitoring using tools like the Elastic Stack.
 </li>
 <li>
 Familiarity with microcontroller programming and real-time operating systems like FreeRTOS.
 
 
 </li>
 </ul>
 You feel we are a match? Apply now and help us to shape the energy transition together. We look forward to welcoming you to
 
 #teamsonnen
 
 !
 
 
 
 sonnen - energy is yours!
 
 
 
 
 Stellensegment:
 
 Embedded, Linux, Open Source, Testing, Developer, Technology
</div>

Platform Software Engineer (m/f/d)

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer
 
 to join
 
 Procore&rsquo;s Runtime Platform
 
 . In this role, you&rsquo;ll act as an
 
 Observability Ambassador
 
 , embedding with product engineering teams to overhaul their observability experience. Your primary goal is to move teams from "blind" to "informed" by implementing
 
 OpenTelemetry
 
 and ensuring clear, actionable visibility within
 
 Honeycomb
 
 and
 
 Datadog
 
 .
 
 
 As a
 
 Senior Software Engineer,
 
 you&rsquo;ll partner with product engineering, Traffic, and Incident Management teams to implement technical "
 
 Golden Paths
 
 " for
 
 telemetry
 
 and lead the transition to high-maturity operational standards. Use your expertise in distributed systems,
 
 OpenTelemetry
 
 , and cross-team collaboration to directly improve Procore's "First to Know" and "Quick to Fix" metrics across the global organization. Help us build a world-class developer experience&mdash;Join us today!
 
 
 This position reports into the
 
 Director of Engineering, Platform Services
 
 and will be based in our
 
 Cairo office.
 
 We&rsquo;re looking for someone to join us immediately.
 
 
 
 What you&rsquo;ll do:
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Lead the hands-on transition to OpenTelemetry by embedding with product teams to write code, configure collectors, and build performance dashboards.
 </li>
 <li>
 Implement "Golden Paths" for telemetry to ensure central libraries are easily adopted by engineering teams.
 </li>
 <li>
 Review product team architectures to identify observability gaps and develop specific technical plans to fill them.
 </li>
 <li>
 Evangelize observability best practices by leading internal sessions and documenting vendor-specific nuances for Honeycomb and Datadog.
 </li>
 <li>
 Collaborate with Traffic and Incident Management teams to ensure product engineers have the necessary data to resolve incidents independently.
 </li>
 <li>
 Provide high-quality technical support to global teams during the Cairo workday to support Procore&rsquo;s "Follow-the-Sun" operational model.
 </li>
 <li>
 Develop tools and processes that empower product teams to handle their own service incidents with confidence.
 </li>
 <li>
 Bridge the gap between central platform initiatives and localized product engineering needs.
 
 
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, a related field, or equivalent experience.
 </li>
 <li>
 4+ years of software engineering experience with a proven track record of taking projects from concept to production.
 </li>
 <li>
 Practical experience with OpenTelemetry and at least one major observability vendor such as Honeycomb, Datadog, or Grafana/Prometheus.
 </li>
 <li>
 Strong proficiency in Ruby on Rails, Go, or Java, with the ability to adapt quickly to new codebases.
 </li>
 <li>
 Deep passion for distributed systems and a proactive approach to "debugging the system" rather than just the code.
 </li>
 <li>
 Excellent communication skills and the ability to build trust quickly while embedding with diverse engineering teams.
 </li>
 <li>
 Strong sense of customer empathy and a commitment to improving the "Developer Experience" for peers.
 </li>
 </ul>
</div>

Senior Software Engineer - Observability

Intellias

<div>
 
 Dear Candidates,
 
 
 
 
 
 We are hiring for a Strong Middle Devops (AWS) Engineer in Egypt for our Digital client.
 
 
 
 
 
 Exp: 3+ years
 
 
 Location: Egypt
 
 
 Candidate Current Location: Egypt
 
 
 
 
 
 
 Skills Required: Devops, AWS, Terraform, CI/CD, Docker, Kubernetes, Gitlab
 
 
 
 
 
 
 
 Role:
 
 
 
 
 
 
 3+ years of experience in DevOps / Platform Engineering / SRE
 
 
 2+ years of hands-on AWS experience in production environments
 
 
 2+ years of Terraform experience, including reusable modules and CI/CD integration
 
 
 Strong hands-on experience with GitLab CI/CD
 
 
 Proficiency in at least one scripting language: Python / Bash / TypeScript
 
 
 Strong Linux, networking, and troubleshooting skills
 
 
 Hands-on experience with Docker and Kubernetes in production
 
 
 Experience with observability and logging tools such as Prometheus, Grafana, ELK/OpenSearch
 
 
 Experience with IAM, secrets management, and infrastructure security best practices
 
 
 Experience supporting production systems, incident response, and root cause analysis
 
 
 Strong communication skills and ability to work across teams
 
 
 English level: B2+
 
 
 
 
 
 
 Nice to have:
 
 
 
 
 
 
 AWS Certified DevOps Engineer &ndash; Professional or AWS Certified Solutions Architect &ndash; Associate
 
 
 CKA / CKAD
 
 
 Experience with Pulumi
 
 
 Experience with GitOps tools (Argo CD)
 
 
 Experience with AWS Organizations / multi-account environments
 
 
 Experience with cost optimization / FinOps
 
 
 Experience mentoring engineers and defining engineering standards
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 Designing, building, and maintaining software delivery pipelines and infrastructure that support continuous integration, delivery, and deployment.
 
 
 Collaborating with engineering teams to ensure that software is delivered with high quality, speed, and reliability.
 
 
 Developing and maintaining monitoring and alerting systems to proactively identify and address issues in production environments.
 
 
 Troubleshooting production issues, conducting root cause analysis, and implementing remediation plans.
 
 
 Managing and scaling infrastructure resources, such as servers, databases, and cloud services, to ensure optimal performance and cost-effectiveness.
 
 
 Implementing security best practices and ensuring compliance with industry standards and regulations.
 
 
 Continuously learning and keeping up-to-date with new technologies and industry trends to improve system performance, security, and efficiency.
 
 
 
 
 
 
 
 
 If you find above job description relevant to your profile, then do DM me or forward me your resume on Ankita.Soni@intellias.com
 
 
 
 
 
 Regards,
 
 
 Ankita
 
 
 Ankita.Soni@intellias.com
 
</div>

AWS Devops Engineer

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software and hardware emulation.
 
 
 This role provides a unique opportunity for a full-stack developer skilled in enterprise infrastructure operations. You will work as part of our global Platform Engineering team, simplifying self-service and operations for our global engineering infrastructure.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 As Senior Software Engineer with 8+ year, your responsibilities will include:
 </li>
 <li>
 Backend services: Design, implement, and operate platform components with an emphasis on reliability, performance, and long-term maintainability
 </li>
 <li>
 APIs: Build and evolve and control-plane services using TypeScript and Go for internal and external consumers
 </li>
 <li>
 Product owner: Own features end-to-end, from technical design and implementation through production rollout, monitoring, and iterative improvement
 </li>
 <li>
 System design: Contribute to discussions, evaluating trade-offs between simplicity, scalability, and operational complexity
 </li>
 <li>
 Monitoring, Logging &amp; Alerting: Improve system operability by enhancing logging, metrics, alerting, and deployment workflows
 </li>
 <li>
 Code quality: Participate in code reviews and design discussions, maintaining high standards for code quality, testing, and documentation
 </li>
 <li>
 Infrastructure Design &amp; Implementation: Design, provisioning, and management of highly available, scalable, and secure cloud infrastructure (e.g., AWS, Azure, GCP, OpenStack) using Infrastructure as Code (IaC) principles.
 </li>
 <li>
 Automation &amp; CI/CD: Develop, maintain, and optimize robust CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps, Argo CD) to automate software delivery, testing, and deployment processes.
 </li>
 <li>
 Containerization &amp; Orchestration: Design, implement, and manage containerized application platforms using Docker and Kubernetes, ensuring efficient resource utilization and operational stability.
 
 
 </li>
 </ul>
 
 Technical Experience
 
 
 
 <ul>
 <li>
 Backend &amp; Systems
 </li>
 <li>
 Hands-on experience building backend services in Python/Go and TypeScript, including APIs, background workers, and internal platform tooling
 </li>
 <li>
 Practical understanding of distributed systems concepts such as failure handling, retries, idempotency, and eventual consistency
 </li>
 <li>
 Frontend &amp; Full-Stack
 </li>
 <li>
 Advanced TypeScript experience building and maintaining production-grade applications
 </li>
 <li>
 Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns
 </li>
 <li>
 Strong focus on developer experience and maintainable, scalable frontend codebases
 </li>
 <li>
 APIs &amp; Developer Experience
 </li>
 <li>
 Design and implementation of well-structured REST APIs with clear versioning, consistent error handling, and thorough documentation
 </li>
 <li>
 Development of internal tools, SDKs, and CLIs that improve developer productivity and reduce operational friction
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 8+ years of professional, enterprise software engineering experience shipping and operating production systems
 </li>
 <li>
 Strong proficiency in TypeScript and Go in real-world production environments
 </li>
 <li>
 Experience building and maintaining applications with Next.js
 </li>
 <li>
 Solid understanding of distributed systems and cloud-native architectures
 </li>
 <li>
 Proven ability to own and deliver complex features from design through production
 </li>
 <li>
 Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly.
 </li>
 <li>
 Ability to work effectively in a collaborative, global, agile environment.
 
 
 </li>
 </ul>
 Why us?
 
 
 Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software. A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All Employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and Creativity and help us shape tomorrow!
 
 
 Siemens Software. Transform the Everyday
 
 
 #SWSaaS
 
 
</div>

Infrastructure Tools Engineer - PE (Full Stack)

Integrant, Inc.

<div>
 Integrant is looking for game changers to join our team as " Lead AI Platform".
 
 
 The Lead AI Platform Engineer is responsible for bridging AI workloads with production-grade infrastructure, with a strong focus on NVIDIA AI stack, enabling high-performance, scalable, and optimized AI systems.
 
 
 This role focuses on model optimization, runtime efficiency, and GPU utilization, ensuring that AI workloads are production-ready, cost-efficient, and performant across enterprise environments.
 
 
 
 Roles and Responsibilities:
 
 
 
 <ul>
 <li>
 Translate AI/ML workloads into optimized infrastructure and deployment strategies
 </li>
 <li>
 Optimize model performance across GPU environments (latency, throughput, memory utilization)
 </li>
 <li>
 Design and implement inference and training pipelines using NVIDIA stack tools (TensorRT, Triton, NIM)
 </li>
 <li>
 Convert and optimize models across frameworks (PyTorch &rarr; ONNX &rarr; TensorRT)
 </li>
 <li>
 Analyze and resolve performance bottlenecks using profiling tools (GPU, memory, network)
 </li>
 <li>
 Improve GPU utilization and scheduling efficiency across clusters
 </li>
 <li>
 Design scalable distributed training and inference architectures
 </li>
 <li>
 Work closely with customers to define AI infrastructure strategies and deployment models
 </li>
 <li>
 Support production deployments including monitoring, rollback, and performance validation
 </li>
 <li>
 Conduct applied research to improve model efficiency and infrastructure utilization
 </li>
 <li>
 Mentor team members on AI infrastructure, optimization, and GPU systems
 </li>
 <li>
 Experiment tracking tools (MLflow, W&amp;B, Neptune) log parameters, metrics, and artifacts for comparison
 </li>
 <li>
 Find the Model degradation happens post-deployment: concept drift, data pipeline changes, traffic pattern shifts
 </li>
 <li>
 Root cause analysis (RCA) applies to ML systems: isolating variables, reproducing issues
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 8+ years of experience in AI systems
 </li>
 <li>
 8+ years of experience in ML systems, HPC and AI infrastructure
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Strong experience with GPU-based AI workloads and performance optimization
 </li>
 <li>
 Deep understanding of model optimization techniques (quantization, pruning, batching)
 </li>
 <li>
 Hands-on experience with:
 </li>
 <li>
 PyTorch
 </li>
 <li>
 ONNX / ONNX Runtime
 </li>
 <li>
 TensorRT / TensorRT-LLM
 </li>
 <li>
 Triton Inference Server
 </li>
 <li>
 Knowledge of CUDA, cuDNN, and GPU architecture fundamentals
 </li>
 <li>
 Experience with distributed systems (multi-GPU / multi-node)
 </li>
 <li>
 Familiarity with:
 </li>
 <li>
 NCCL communication
 </li>
 <li>
 NVLink / InfiniBand
 </li>
 <li>
 Kubernetes or Slurm for orchestration
 </li>
 <li>
 Experience deploying AI models into production environments
 </li>
 <li>
 Ability to analyze system bottlenecks (compute, memory, network)
 </li>
 <li>
 Experience with profiling tools (Nsight, TensorRT profiler, etc.)
 </li>
 <li>
 Knowledge of cost optimization strategies for GPU workloads
 </li>
 <li>
 Experiment tracking tools (MLflow, W&amp;B, Neptune) log parameters, metrics, and artifacts for comparison
 </li>
 <li>
 Find the Model degradation happens post-deployment: concept drift, data pipeline changes, traffic pattern shifts
 </li>
 <li>
 Root cause analysis (RCA) applies to ML systems: isolating variables, reproducing issues
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with NVIDIA NIM and NGC ecosystem
 </li>
 <li>
 Exposure to Megatron-LM, NeMo, or large-scale LLM training/inference
 </li>
 <li>
 Experience with LLM optimization techniques (KV cache, batching strategies)
 </li>
 <li>
 Familiarity with MLOps practices and CI/CD for AI systems
 </li>
 <li>
 Experience in customer-facing architecture or consulting roles
 </li>
 <li>
 Familiarity with hybrid cloud / on-prem HPC environments
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Lead AI Platform

Explore 268+ Platform engineer in Cairo this April. Find roles across top companies and apply now to boost your career.

268 platform engineer jobs In Cairo

AI Platform Engineer

AI Platform Engineer

Platform Software Engineer (m/f/d)

Senior Software Engineer - Observability

AWS Devops Engineer

Infrastructure Tools Engineer - PE (Full Stack)

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