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 GitHub 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 / OpenTofu
- 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 / OpenTofu (or similar)
- Solid Git/GitHub 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
Highly 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, WireGuard) or zero-trust principles
- Previous involvement in CI for hardware/FPGA testing or open-source projects