Role Summary

We are seeking an experienced Kubernetes (K8S) & High-Performance Computing (HPC) Engineer to design, deploy, and support scalable compute platforms for AI/ML, simulation, and data-intensive workloads. This role will focus on Kubernetes administration, containerized infrastructure, HPC environments, GPU-enabled computing, and cloud-native platform engineering.

Key Responsibilities

- Design, deploy, and manage Kubernetes-based compute platforms supporting AI/ML, simulation, and high-performance workloads.

- Implement and support containerized environments using Kubernetes, Docker, and Helm.

- Administer and optimize HPC clusters, workload schedulers, and distributed computing environments.

- Support GPU infrastructure and performance tuning for compute-intensive workloads.

- Develop and maintain infrastructure automation, monitoring, and CI/CD pipelines.

- Deploy and support cloud-native infrastructure across AKS, EKS, and/or GKE environments.

- Troubleshoot platform performance, scalability, and availability issues.

Required Qualifications

- 5+ years of experience in Kubernetes and cloud infrastructure engineering.

- 2+ years of experience supporting HPC or large-scale compute platforms.

- Strong Linux administration experience.

- Experience with Kubernetes, Docker, Helm, and container orchestration.

- Experience with Python and/or Bash scripting.

- Experience supporting Azure, AWS, or GCP environments.

Required Technical Skills

- Kubernetes (K8S)

- Docker

- Helm

- Linux Administration

- Python

- Bash

- HPC Clusters

- Slurm and/or Volcano

- NVIDIA GPU Infrastructure

- CI/CD

- Infrastructure Automation

- Monitoring & Observability

- AKS, EKS, and/or GKE

Preferred Qualifications

- Experience with RDMA and/or InfiniBand.

- Experience with parallel storage systems and large-scale compute environments.

- Experience supporting AI model training, semiconductor workloads, scientific computing, or engineering simulations.

Must Haves





- Hands-on Kubernetes administration experience including Docker and Helm.

- Experience supporting HPC environments utilizing Slurm, Volcano, or similar workload schedulers.

- Strong Linux administration, scripting, and infrastructure automation expertise.

Nice To Haves

- Experience with NVIDIA GPU infrastructure and AI/ML workloads.

- Experience with AKS, EKS, or GKE.

- Experience with RDMA, InfiniBand, or parallel storage technologies.

The pay range that the employer in good faith reasonably expects to pay for this position is $37.37/hour - $58.39/hour. Our offered advantages include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical

Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.

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