GPU‑Optimized Kubernetes Engineer for AI/ML Platforms

NorthMark Compute and Cloud LLC; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Company-Paid Lunch Stipend via GrubHub

100% Employer-Paid Medical, Dental, and Vision

16 weeks Paid Parental Leave

401(k) with 100% match up to 6% of contributions

25 days Paid Time Off plus 12 company holidays

Job summary

NorthMark Compute and Cloud LLC is seeking a Senior Kubernetes Engineer for their Dallas office. The role involves designing and implementing GPU-accelerated container platforms and optimising Kubernetes clusters for high-performance workloads.

Responsibilities include developing custom operators, managing CI/CD pipelines, and collaborating with various teams to enhance cluster performance. The company offers competitive benefits, including fully paid medical, dental, and vision coverage.

Qualifications

• Extensive experience with Kubernetes in production environments, particularly GPU workloads.
• Proficiency in Go or Python for operator development and Kubernetes controller logic.
• Deep understanding of Kubernetes internals including CRDs and RBAC.

Responsibilities

• Architect and operate Kubernetes clusters optimised for GPU workloads.
• Develop, deploy, and maintain custom Kubernetes operators.
• Integrate NVIDIA device plugins and GPU sharing features.

Skills

Kubernetes

Go or Python

GPU workloads

Helm

Kustomize

Prometheus

Job description

NorthMark Compute and Cloud LLC is seeking a Senior Kubernetes Engineer for their Dallas office. The role involves designing and implementing GPU-accelerated container platforms and optimising Kubernetes clusters for high-performance workloads.

Responsibilities include developing custom operators, managing CI/CD pipelines, and collaborating with various teams to enhance cluster performance. The company offers competitive benefits, including fully paid medical, dental, and vision coverage.