Senior Kubernetes Engineer

Role Overview

Join NorthMark Compute & Cloud (NMC2) as a Senior Kubernetes Engineer to design, implement, and optimize GPU-accelerated container platforms at scale. You will work with NVIDIA and Kubernetes ecosystems to enable high-performance workloads across hybrid or on-prem environments.

What You Will Do

Design, implement, and optimize Kubernetes clusters for GPU workloads, develop custom Kubernetes operators and controllers, integrate NVIDIA device plugins, and optimize GPU utilization.

Why It Might Be a Fit

This role requires deep expertise with NVIDIA and Kubernetes ecosystems, including GPU scheduling, device plugins, and custom operators. You will collaborate with HPC, ML, and DevOps teams to ensure multi-tenant, high-throughput cluster performance.

Requirements

• Extensive experience with Kubernetes in production-grade environments
• 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

Benefits

• Company-Paid Lunch Stipend
• Company-Paid Benefits: 100% Employer-Paid Medical, Dental, and Vision benefits
• 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%
• 25 days of Paid Time Off plus 12 company holidays