Senior DevOps Engineer

Role overview

Build and operate the cloud infrastructure that supports AI and physics-based simulation work. This senior, hands-on role combines multi-cloud operations, Kubernetes platform engineering, infrastructure automation, and direct support for scientists and developers. The position is intended for someone based in the Pacific or Mountain time zone.

Responsibilities

- Provision, maintain, and scale cloud environments across Google Cloud, AWS, and Azure using Terraform. - Deploy and optimize Kubernetes clusters, including networking, ingress, service meshes, storage, and autoscaling. - Help engineering teams diagnose container and cluster issues, resolve scheduling bottlenecks, and improve development workflows. - Work with operations, IT, and security teams to protect regulated data and improve availability and compliance. - Maintain monitoring and logging, manage release pipelines, and take part in on-call coverage.

Requirements

- A degree in computer science, engineering, or a related field, or equivalent practical experience. - At least three years in DevOps, with substantial cloud infrastructure experience, especially Google Cloud and AWS. - Strong Terraform skills and scripting experience in Python or Bash. - Hands-on Kubernetes experience, including cluster networking and storage, plus Git workflows and CI pipelines. - Experience with monitoring and logging tools and supporting teams across disciplines.

Nice to have

- Experience operating across Google Cloud, AWS, and Azure; managing regulated data and applying enterprise security controls; optimizing Docker and container runtimes; or supporting high-capacity AI infrastructure.

Benefits and work setup

The role is fully remote. Benefits include medical, dental, and vision coverage, retirement matching, parental and family-building support, flexible paid time off, seasonal company breaks, and learning opportunities. Compensation may include performance incentives and equity.