# Senior AI Infrastructure Engineer, Kubernetes at firmus

- Company: firmus
- What the company does: Your AI ally in preconstruction clarity — Actionable insights to reduce risk and elevate project quality for GCs, Architects, and Developers.
- Company website: https://firmus.ai
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco, California, United States
- Work setup: On-site
- Posted: 2026-09-08
- Apply by: 2026-10-23
- Apply: https://job-boards.greenhouse.io/firmus/jobs/5417619008
- Page: https://www.1752.vc/careers/jobs/firmus-senior-ai-infrastructure-engineer-kubernetes/

## About the role

Join us in our mission to revolutionize the AI industry through sustainable practices and cutting-edge engineering. Apply now to be part of shaping the future of sustainable AI infrastructure.

## What they're looking for

- Demonstrated experience designing, building, and operating highly available, large scale and multi-cluster Kubernetes platforms on bare metal, private cloud, or hybrid infrastructure
- Strong software engineering ability in Go and/or Rust, with practical Python and Bash skills, experience building Kubernetes operators, controllers, admission webhooks, CLIs, or platform services
- Expert Linux systems knowledge, including namespaces, cgroups, systemd, kernel, host networking and container runtime behaviour, performance analysis, and low-level troubleshooting
- Strong Kubernetes networking expertise across Cilium, Calico, or equivalent CNI implementations, plus load balancing, DNS, ingress, BGP, network policy, and multi-network architectures
- Strong infrastructure automation and GitOps experience with tools such as Terraform, Ansible, Argo CD, Flux, GitHub Actions, GitLab CI, or Jenkins
- Practical experience with Kubernetes security and governance, including RBAC, OPA Gatekeeper or Kyverno, secrets management, certificate lifecycle, image security, and workload isolation

Tags: AI Infrastructure Platform