HPC / Linux / Cloud Engineer (GPU, Kubernetes, AWS/Azure) – 1 Year Renewable Contract

We are hiring HPC Engineers (junior) to support and scale a high-performance computing environment (CPU & GPU) used for advanced analytics and AI/ML workloads.

You will work on Linux systems, GPU clusters, and cloud platforms, helping teams run compute-intensive workloads efficiently.

If you have experience in Linux, cloud, or containers—and are keen to work on HPC—we encourage you to apply.

• Junior Engineer (2+ years)

We are open to candidates with strengths in either HPC, cloud, or platform engineering.

What You’ll Be Doing

• Manage and support Linux-based compute environments and clusters
• Monitor system performance and troubleshoot issues
• Support job scheduling tools (e.g. PBS, Slurm)
• Work with containers (Docker/Kubernetes) and cloud platforms
• Support GPU workloads and AI/ML applications (training, optimisation)
• Automate infrastructure using tools like Terraform or Ansible
• Collaborate with users to improve performance and reliability

You won’t be expected to know everything—we value depth in a few areas.

What We’re Looking For

• Experience with Linux administration (RHEL or similar)
• Exposure to cloud platforms (AWS, Azure, or GCP) OR containers
• Basic scripting or automation experience

Good to Have (Not Mandatory)

• HPC / cluster environments or job schedulers (PBS, Slurm)
• Kubernetes / Docker / Singularity
• GPU computing (CUDA, PyTorch, TensorFlow)
• Infrastructure as Code (Terraform, CloudFormation)
• Monitoring tools (Grafana, Prometheus, etc.)