Infrastructure Support Engineer

We're looking for a motivated Infrastructure Support Engineer. You'll support a compact but unusually broad infrastructure footprint that supports hardware design, security verification, FPGA-based testing, CI/CD for silicon projects, and collaborative open-source workflows. This is a fantastic opportunity for a junior to mid-level engineer who thrives on learning new technologies quickly and enjoys making incremental improvements in a mission-focused setting.

You'll gain hands-on experience across declarative infrastructure, zero-trust networking, hybrid cloud/on-prem Kubernetes, and custom tooling—while contributing directly to the productivity of engineers building foundational open-source silicon.

Key Responsibilities Help maintain and troubleshoot our on-prem Kubernetes cluster, powering hardware simulation, verification, and test workloads Support our Nebula overlay network as we build toward a robust zero-trust model across distributed engineering teams Operate and enhance self-hosted Git Hub Actions runners, including an FPGA test rig that handles real hardware requests from CI workflows Maintain and gradually improve our Python-based internal tooling (used daily by hardware and software engineers) — refactoring for maintainability, adding features, and applying better software practices where it adds value Manage NixOS servers through declarative configurations for reproducible, reliable deployments Provision and manage Google Cloud resources (VMs, GKE-based runners, storage, networking) using Terraform / Open Tofu Monitor system health and respond to alerts Collaborate with hardware engineers, security specialists, and open-source contributors to debug issues spanning CI pipelines, FPGA rigs, cloud environments, and internal scripts Document setups, workflows, and lessons learned to help onboard new team members and partners Required Skills & Experience Strong Linux fundamentals and comfort administering production-like systems Practical Python experience for scripting, automation, and maintaining existing codebases (you'll read and improve real-world Python tools regularly) Hands-on work with Kubernetes (basic operations, troubleshooting, YAML manifests)

Experience with Infrastructure as Code tools like Terraform / Open Tofu (or similar) Solid Git/Git Hub knowledge, ideally with Actions or CI/CD pipelines Curiosity and ability to ramp up on new tools and concepts quickly Clear communication skills for working across hardware, software, and infrastructure domains Experience using AI-assisted development workflows (e.g., Claude Code, Codex, or similar AI tools) Desirable Any exposure to Nix or NixOS (personal projects welcome) Interest in or experience with Rust for performance-sensitive tooling Familiarity with Google Cloud (GCE, GKE, IAM) Knowledge of overlay/VPN technologies (Nebula, Tailscale, Wire Guard) or zero-trust principles Previous involvement in CI for hardware/FPGA testing or open-source projects

Experience with FPGA development