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.)