DevOps & Automation Engineer
DevOps & Automation Engineer at a Dubai-based technology company who owns CI/CD pipelines, GitHub Enterprise/TFS/Azure DevOps platform operations, containerized deployments (Docker, Kubernetes/OpenShift), and AI/GPU infrastructure like model serving and LLM API gateways. The focus is making deployments automated, secure, auditable, and reversible.
- Compensation
- Not disclosed
- Location
- Dubai, United Arab Emirates
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Devops
- Posted
Skills
Must have
- 5+ years in DevOps, release engineering, infrastructure automation, platform engineering, or systems automation
- Strong experience with CI/CD tools (GitHub Actions, Azure DevOps Pipelines, Jenkins, GitLab CI, or similar)
- Experience administering/supporting GitHub Enterprise, TFS, Azure DevOps Server, or similar source control platforms
- Strong Docker and container deployment experience; building Docker images and managing containerized pipelines
- Practical experience with Kubernetes, OpenShift, Helm, or similar orchestration platforms
- Strong scripting using PowerShell plus Bash or Python
- Experience managing build agents, runners, secrets, service connections, and pipeline permissions
- Must be based in Dubai, UAE
Nice to have
- Terraform, Ansible, Packer, or similar IaC tools
- VMware, Hyper-V, Proxmox, OpenStack, Nutanix, or other virtualization platforms
- Security/dependency/secret scanning and DevSecOps practices
- OpenShift, Kubernetes operators, GitOps, ArgoCD, or Flux
- GPU infrastructure — NVIDIA drivers, CUDA, GPU node pools in Kubernetes, NVIDIA device plugin, or bare-metal GPU server management
- AI model serving — vLLM, Triton Inference Server, Ollama, or similar; deploying and scaling LLM/ML model endpoints
- AI API gateway — Kong, Traefik, or custom gateway solutions for LLM routing, quota management, and cost tracking
- Vector databases — Qdrant, Weaviate, Chroma, Milvus, or pgvector; AI pipeline tools — Airflow, Prefect, or similar
- Experience in regulated, policy-driven environments (semi-government, banking, telecom, energy, healthcare, defense)
Full description
About F-Technologies:
F-Technologies is a Dubai-based technology company designing and operating enterprise infrastructure, digital platforms, and technology products across the UAE and the Gulf. We hold ourselves to high engineering and design standards with an automation-first, security-first, quality-first mindset — and we're growing the team to match that ambition.
About the Role:
F-Technologies is looking for a DevOps & Automation Engineer to own deployment automation, CI/CD pipelines, GitHub Enterprise, TFS/Azure DevOps Server, build agents, release governance, infrastructure automation, containerized deployment workflows, AI infrastructure, and developer platform reliability. This role is responsible for making deployments safer, faster, repeatable, secure, auditable, and reversible — and for proactively identifying and eliminating manual, error-prone processes before they cause incidents. The ideal candidate is hands-on with CI/CD, GitHub Enterprise, TFS/Azure DevOps, scripting, Docker, Kubernetes/OpenShift, infrastructure automation, GPU workloads, AI API gateway management, and secure deployment practices.
Key Responsibilities:
GitHub Enterprise, TFS & Developer Platform Operations:
- Administer and support GitHub Enterprise, TFS, Azure DevOps Server, or similar platforms.
- Manage repositories, permissions, branch protection, pull request rules, code review policies, and audit logs.
- Manage self-hosted runners, build agents, service connections, tokens, secrets, and deployment credentials.
- Maintain developer platform availability, access governance, and operational documentation.
CI/CD & Release Automation:
- Build, maintain, and improve CI/CD pipelines for VM-based and containerized applications.
- Automate build, test, release, deployment, rollback, and environment setup processes.
- Create deployment checklists, release gates, rollback plans, and approval processes.
- Ensure all production deployments are auditable and traceable.
Containerization & Kubernetes/OpenShift:
- Build and maintain CI/CD workflows for Docker and containerized deployments.
- Automate container image build, scan, tag, push, deploy, and rollback.
- Support Kubernetes/OpenShift deployments; use Helm or similar for repeatable deployments.
- Troubleshoot CrashLoopBackOff, image pull errors, failed probes, ingress issues, secrets/config issues, and deployment failures.
AI Infrastructure & GPU Platform:
- Own the deployment and operational management of GPU server infrastructure for AI workloads — driver management, CUDA/ROCm stack, GPU health monitoring, and resource scheduling.
- Deploy and manage AI model serving infrastructure — vLLM, Triton Inference Server, Ollama, or similar — as containerized, monitored, and auditable workloads.