Systems & Application Server Engineer
Role Overview
The source title is Systems & Application Server Engineer, while the description identifies the role as DevOps & Automation Engineer and describes DevOps duties.
Key Skills for This Role
Full Job Posting
Title and description discrepancy
The source title is Systems & Application Server Engineer, while the description identifies the role as DevOps & Automation Engineer and describes DevOps duties.
About F-Technologies
Dubai-based technology company designing and operating enterprise infrastructure, digital platforms, and technology products across the UAE and Gulf.
Responsibilities described
- Administer GitHub Enterprise, TFS/Azure DevOps Server, repositories, permissions, runners, build agents, secrets, and platform documentation.
- Build and improve CI/CD workflows; automate builds, tests, releases, deployments, rollbacks, environment setup, approvals, and auditability.
- Operate Docker and Kubernetes/OpenShift deployment workflows; manage container images and troubleshoot deployment issues.
- Manage GPU infrastructure, model-serving workloads, AI API gateways, vector databases, and AI orchestration tools.
- Monitor AI workload performance; automate provisioning and model releases; coordinate GPU governance, security, cost, and capacity.
- Implement secure pipeline controls and scanning; cross-train on infrastructure coverage and document procedures.
Required qualifications
- 5+ years in DevOps, release engineering, infrastructure automation, platform engineering, or systems automation.
- Strong CI/CD experience and experience administering GitHub Enterprise, TFS, Azure DevOps Server, or similar platforms.
- Strong Docker and container deployment experience; practical Kubernetes, OpenShift, Helm, or similar experience.
- Strong PowerShell plus Bash or Python scripting; experience managing agents, runners, secrets, service connections, and pipeline permissions.
- Must be based in Dubai, UAE.
Preferred qualifications
- Terraform, Ansible, Packer, virtualization platforms, DevSecOps, Kubernetes operators, GitOps, ArgoCD, or Flux.
- GPU infrastructure, AI model serving, AI API gateways, vector databases, and AI pipeline orchestration experience.
- Experience in regulated, policy-driven environments with auditable pipelines, formal change approval, and documented release governance.
Compensation
- Competitive salary commensurate with experience; range shared during screening.
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