Senior Kubernetes Engineer

In this role, you will design, implement, and optimise GPU-accelerated container platforms at scale, enabling high-performance workloads (AI/ML, HPC, LLM training) across hybrid or on-prem environments.
You will have deep expertise with both NVIDIA and Kubernetes ecosystems, including GPU scheduling, device plugins and custom operators.

Responsibilities

• Architecting and operating Kubernetes clusters optimised for GPU workloads, leveraging NVIDIA GPU Operator, Network Operator and DCGM

• Developing, deploying and maintaining custom Kubernetes operators and controllers to automate infrastructure services

• Integrating NVIDIA device plugins, Multi-Instance GPU (MIG) and GPU sharing features into the scheduling layer

• Optimising GPU utilisation and job placement through scheduler extensions, such as kube-scheduler plugins, Slurm and Volcano

• Collaborating with HPC, ML and DevOps teams to ensure multi-tenant, high-throughput cluster performance

• Driving observability and telemetry integrations using Prometheus, Grafana, DCGM Exporter and OpenTelemetry

• Implementing secure multi-user and multi-namespace GPU isolation, with RBAC and policy enforcement, such as OPA or Gatekeeper

• Maintaining CI/CD pipelines for Kubernetes infrastructure using GitOps, ArgoCD and FluxCD

• Contributing to infrastructure-as-code, using Terraform, Helm, and Kustomize

• Participating in performance tuning, incident response and production readiness reviews

Requirements

• Extensive experience with Kubernetes in production-grade environments and working with NVIDIA and Kubernetes, including GPU Operator, device plugin, NVML, MIG and DCGM

• Proficiency in Go or Python for operator development and Kubernetes controller logic

• Deep understanding of Kubernetes internals, including CRDs, RBAC, custom controllers and scheduler extensions

• Experience with GPU-intensive workloads, for example for LLMs, training pipelines and scientific computing

• Hands-on experience with Helm, Kustomize and GitOps workflows

• Familiarity with CNI plugins, especially NVIDIA CNI and Multus

• Experience with monitoring GPU metrics and cluster health using Prometheus and DCGM Exporter