devops engineer

senior software engineer

software engineer

data engineer

chief engineer

ai 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>
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 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>

Integrant

<div>Integrant is looking for game changers to join our team as &quot; Lead AI Platform&quot;.
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></ul><ul><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 ONNX 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></ul><ul><li>
PyTorch</li><li>
ONNX / ONNX Runtime</li><li>
TensorRT / TensorRT-LLM</li><li>
Triton Inference Server</li></ul><ul><li>
Knowledge of CUDA, cuDNN, and GPU architecture fundamentals</li><li>
Experience with distributed systems (multi-GPU / multi-node)</li><li>
Familiarity with:</li></ul><ul><li>
NCCL communication</li><li>
NVLink / InfiniBand</li><li>
Kubernetes or Slurm for orchestration</li></ul><ul><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

Procore Technologies

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Principal Software Engineer Evangelist
 
 to join Procore&rsquo;s Infrastructure Platform division to work on our commercial initiatives. In this role, you&rsquo;ll help build and evangelize Procore&rsquo;s next-generation construction compute platform for others to build upon, including Procore developers, analysts, partners, and customers.
 
 
 As a
 
 Principal Software Engineer Evangelist
 
 , you&rsquo;ll partner with other engineers and product managers across Product &amp; Technology to develop and maintain compute platform capabilities that enable SaaS based products to operate in a secure and compliant environment. A core part of this role is focusing on internal developer enablement, ensuring a seamless platform experience, and evangelizing platform features and best practices. To be successful in this role, you&rsquo;re passionate about distributed systems on the cloud with experience in operating and maintaining cloud based products at-scale. If you&rsquo;re an engineer comfortable and excited about building our next-generation platform and translating problems into pragmatic solutions that open up the boundaries of technical possibilities&mdash;we&rsquo;d love to hear from you!
 
 
 This position reports to the Enablement Manager for Infrastructure Platform 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 in the design and implementation of our next-generation platform for the construction industry, primarily focused on building and supporting distributed systems, internal developer experience, and ease of adoption.
 </li>
 <li>
 Act as a platform evangelist, creating documentation, leading training sessions, and sharing best practices to enable internal engineering teams to utilize platform features effectively.
 </li>
 <li>
 Drive and support the engineering team in all phases of the software development lifecycle, ensuring platform stability, observability, and compliance.
 </li>
 <li>
 Help identify and propose solutions for technical gaps in our platform by running proof of concepts and experiments, with a keen eye on the latest advancements in the Kubernetes ecosystem.
 </li>
 <li>
 Work alongside our Product, UX, and IT teams, leveraging your expertise to influence our product roadmap and deliver innovative solutions that enhance developer productivity.
 </li>
 <li>
 Stay up to date with the latest platform and Kubernetes technology trends, and advocate for their adoption where appropriate.
 
 
 </li>
 </ul>
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 6+ years of experience maintaining application services in kubernetes clusters.
 </li>
 <li>
 Experience provisioning and operating cloud native tools at scale.
 </li>
 <li>
 3+ years of experience as a CKD.
 </li>
 <li>
 6+ years of experience operating cloud-based, highly available, distributed, and scalable systems with large amounts of data.
 </li>
 <li>
 Experience and proficiency in composing and maintaining kubernetes manifests, such as Helm and Kustomize.
 </li>
 <li>
 Experience and proficiency in managing infrastructure as code, such as Terraform.
 </li>
 <li>
 Experience in advising development and customized automation for CI/CD pipelines and building container images.
 </li>
 <li>
 Experience with AWS (RDS, EC2, S3, IAM etc.)
 </li>
 <li>
 Proven ability to lead technical enablement initiatives, mentor engineers, and drive the adoption of new platform features.
 </li>
 </ul>
</div>

Principal Software Engineer Evangelist - Infrastructure Platform

<div>
 
 Job Ad
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Engineer Evangelist
 
 to join Procore&rsquo;s Infrastructure Platform division to work on our commercial initiatives. In this role, you&rsquo;ll help build and evangelize Procore&rsquo;s next-generation construction compute platform for others to build upon, including Procore developers, analysts, partners, and customers.
 
 
 As a
 
 Senior Software Engineer Evangelist
 
 , you&rsquo;ll partner with other engineers and product managers across Product &amp; Technology to develop and maintain compute platform capabilities that enable SaaS based products to operate in a secure and compliant environment. A core part of this role is focusing on internal developer enablement, ensuring a seamless platform experience, and evangelizing platform features and best practices. To be successful in this role, you&rsquo;re passionate about distributed systems on the cloud with experience in operating and maintaining cloud based products at-scale. If you&rsquo;re an engineer comfortable and excited about building our next-generation platform and translating problems into pragmatic solutions that open up the boundaries of technical possibilities&mdash;we&rsquo;d love to hear from you!
 
 
 This position reports to the Enablement Manager for Infrastructure Platform 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>
 Participate in the design and implementation of our next-generation platform for the construction industry, primarily focused on building and supporting distributed systems, internal developer experience, and ease of adoption.
 </li>
 <li>
 Act as a platform evangelist, creating documentation, leading training sessions, and sharing best practices to enable internal engineering teams to utilize platform features effectively.
 </li>
 <li>
 Drive and support the engineering team in all phases of the software development lifecycle, ensuring platform stability, observability, and compliance.
 </li>
 <li>
 Help identify and propose solutions for technical gaps in our platform by running proof of concepts and experiments, with a keen eye on the latest advancements in the Kubernetes ecosystem.
 </li>
 <li>
 Work alongside our Product, UX, and IT teams, leveraging your expertise to influence our product roadmap and deliver innovative solutions that enhance developer productivity.
 </li>
 <li>
 Stay up to date with the latest platform and Kubernetes technology trends, and advocate for their adoption where appropriate.
 
 
 </li>
 </ul>
 What we&rsquo;re looking for:
 
 
 <ul>
 <li>
 Experience maintaining application services in kubernetes clusters.
 </li>
 <li>
 Experience provisioning and operating cloud native tools at scale.
 </li>
 <li>
 2+ years of experience as a CKD.
 </li>
 <li>
 4+ years of experience operating cloud-based, highly available, distributed, and scalable systems with large amounts of data.
 </li>
 <li>
 Experience and proficiency in composing and maintaining kubernetes manifests, such as Helm and Kustomize.
 </li>
 <li>
 Experience and proficiency in managing infrastructure as code, such as Terraform.
 </li>
 <li>
 Experience in advising development and customized automation for CI/CD pipelines and building container images.
 </li>
 <li>
 Experience with AWS (RDS, EC2, S3, IAM etc.)
 </li>
 <li>
 Proven ability to lead technical enablement initiatives, mentor engineers, and drive the adoption of new platform features.
 </li>
 </ul>
</div>

Senior Software Engineer Evangelist - Infrastructure Platform

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical skills and attention to detail. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI Use Cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance. This involves designing, developing, and deploying scalable data pipelines and architectures that meet business requirements.
 </li>
 <li>
 Enhance Databricks Platform: Continuously enhance and improve the Databricks platform to support evolving client needs and emerging trends in Data and AI. This includes staying up-to-date with new features, best practices, and industry developments related to Databricks and cloud-based data engineering.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Exposure to Databricks Platform: Experience with implementing data and AI use cases on the Databricks platform, including designing, developing, and deploying scalable data pipelines and architectures.
 </li>
 <li>
 Data Engineering Skills: Experience working with data engineering principles, practices, and tools, particularly in cloud-based environments.
 </li>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks.
 </li>
 <li>
 Implementation Expertise: Experience with implementing data and AI solutions, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Technical Skills: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks, is beneficial for this role.
 </li>
 <li>
 Data Engineering Principles: Familiarity with data engineering principles and practices, particularly in cloud-based environments, is advantageous for implementing data and AI use cases on the Databricks platform.
 </li>
 <li>
 Technical Proficiency: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing is desirable for this position.
 </li>
 </ul>
</div>

Data Engineer - Data Platforms Databricks

Data Engineer-Data Platforms-Databricks

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Data Engineer - Data Platforms Databricks

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