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NMC2

Senior Kubernetes Engineer

dallas, TX

Check who can apply and the requirements below before continuing.

About this opportunity

NMC2 lists this Senior Kubernetes Engineer opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Overview

NorthMark Compute & Cloud (NMC²) 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.

The Position

We are seeking a highly skilled Senior Kubernetes Engineer to join our NMC2 office in Dallas. 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

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Worksite address

dallas, TX, 75215, US

Who can apply

Review the original listing for work authorization, qualifications and employer requirements.

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