ABOUT THE ROLE
Join an early-stage team building infrastructure that makes production Kubernetes easier to deploy and manage for demanding AI workloads. You will help shape the platform layer and its multi-cluster capabilities, working across systems engineering, automation, and cloud-native infrastructure.
WHAT YOU'LL DO
- Build platform features in Go, including custom Kubernetes operators and controllers.
- Design GitOps workflows with ArgoCD to streamline continuous deployment.
- Develop infrastructure-as-code patterns with Terraform and Helm to provision and manage clusters.
- Work with distributed storage technologies such as Ceph and WEKA for scalable cluster storage.
- Create observability systems with Prometheus and Grafana to surface cluster health and performance.
- Build and optimize container networking with Cilium for security and observability.
- Design federated Kubernetes architectures for multi-cluster management.
- Develop automation that reduces operational work for teams running production workloads.
WHAT WE'RE LOOKING FOR
- At least 2 years of software development experience, with approximately 5 years preferred.
- Hands-on experience writing Go for Kubernetes environments and managing production-scale clusters.
- Experience with distributed storage such as Ceph or WEKA, federated Kubernetes, and multi-cluster management.
- Experience with GitOps and ArgoCD, plus infrastructure as code using Terraform, Helm, or comparable tools.
- Familiarity with cloud platforms, managed Kubernetes, container networking, or service mesh technologies.
- Experience with Prometheus and Grafana is useful, as are contributions to open-source infrastructure projects.
COMPENSATION & BENEFITS
Annual salary of $180,000 to $210,000 USD. Visa sponsorship is available.
LOCATION
This is a full-time, on-site role in San Francisco, California, United States.