Kubernetes Engineer

Kubernetes Engineer

Do you have a strong passion for containers and Cloud Native technologies? Do you understand the value containers and Kubernetes brings to managing applications deployments? As a Kubernetes Engineer, you will be responsible for one of our Computing Platform's most critical components, our Kubernetes cluster. You will help streamline the deployment, maintenance, monitoring and expand its capabilities to meet LLNL's intensive scientific workloads. If you are ready to drive meaningful change and make a real impact from the ground up, this opportunity is for you.

We have an opening for an experienced Kubernetes Engineer to develop and support a 24x7 large-scale bare-metal Kubernetes environments. As a member of the team, you'll bridge the gap between hardware and high-performance software, ensuring our scientific teams have the reliable, secure platforms needed to build world-class products. This is a high-impact mission where your expertise in on-prem automation and cluster orchestration directly accelerates our product innovation. This position is within the Global Security Computing Applications Division (GS-CAD) of the Computing Directorate, matrixed to the Global Security Directorate.

This position requires part-time on-site presence due to the nature of the work.

This position will be filled at either level based on knowledge and related experience as assessed by the hiring team. Additional job responsibilities (outlined below) will be assigned if hired at the higher level.

You will:

• Contribute to the design and deployment of large-scale bare-metal clusters, integrating control planes with VAST Storage arrays to deliver high-performance persistent storage.
• Contribute to the implementation of advanced cluster networking to ensure seamless, low-latency communication across multi-rack and multi-site topologies.
• Participate in building and maintaining automated, self-healing workflows using CI/CD pipelines to manage cluster lifecycles, ensuring zero-touch deployments and consistent platform health.
• Support rigorous SLIs/SLOs by engineering robust observability stacks (Prometheus, Grafana) and enforcing airtight security through RBAC, OIDC, and network isolation.
• Partner with internal business units to onboard moderately complex workloads, while elevating the technical bar for the team through design reviews and mentorship.
• Collaborate with team members on integrating AI agents to assist with troubleshooting and automating cluster management operations.
• Perform other duties as assigned.

Additional job responsibilities, at the SES.3 level:

• Collaborate with researchers on developing repeatable software stacks used for research and automate deployment and configuration across multiple environments.
• Partner with security teams to incorporate security checks and audits for Kubernetes deployments into our Gitlab CI/CD system.
• Extend Kubernetes to help simplify usage, operations and user applications.