Senior DevOps Engineer

About the role

We are looking for a Senior DevOps Engineer to lead the design, implementation and operation of both on‑premise and cloud infrastructure that supports our machine‑learning research and production workloads. The role involves hands‑on work with CI/CD pipelines, container orchestration, and multi‑cloud environments.

Key responsibilities

• Design and lead server selection, on‑premise GPU cluster setup and multi‑cloud training pipelines.
• Administer Linux servers, networking, storage and identity/device management across on‑premise infrastructure.
• Troubleshoot intermittent issues on tower servers and resolve cloud‑infrastructure problems.
• Own end‑to‑end cloud workloads – deployment, scaling, high availability and monitoring on ECS/EKS.
• Build and maintain CI/CD pipelines using Jenkins and GitHub Actions.
• Automate routine tasks with bash/Python scripts and manage patching and security at scale.
• Implement Infrastructure‑as‑Code with Terraform and/or Ansible.

Required profile

• 5+ years of hands‑on DevOps experience on both on‑premise and major cloud platforms.
• Strong Linux system administration and networking fundamentals (TCP/IP, DNS, VPNs, firewalls).
• Proven ability to design, deploy and operate containerised workloads with Docker and Kubernetes.
• Excellent analytical and troubleshooting skills with clear English communication.

Required skills

• Linux, Bash, Python
• CI/CD: Jenkins, GitHub Actions
• Infrastructure‑as‑Code: Terraform, Ansible
• Containers & orchestration: Docker, Kubernetes (ECS/EKS)
• Cloud providers: AWS, Azure, Google Cloud
• Networking: TCP/IP, DNS, subnetting, VPNs, firewalls, MP‑BGP, EVPN, VXLAN
• HPC concepts and job schedulers (e.g., Run:ai, Determined) – nice to have
• Server hardware selection, Citrix, VMware Horizon, Squid Proxy – nice to have