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

• 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

It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs.

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

• Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability
• 401(k): Company will match 100% of your contributions up to 6%
• Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more.
• Time Off: 25 days of Paid Time Off plus 12 company holidays

NorthMark Compute & Cloud (NMC ) is backed by dedicated leadership and investment, with a clear mission as it operates at the bleeding edge of technology. Its goal is to scale and enhance the high-performance computing (HPC) and cloud infrastructure that supports its clients’ research, production, and delivery, enabling breakthroughs that shape the industries of tomorrow. Its engineers build critical infrastructure to eliminate friction in scientific research, simulations, analysis, and decision-making, accelerating discovery and driving faster innovation.