Platform Engineer (Kubernetes)

About the Role

This is an early-team platform engineering role at a seed-stage AI infrastructure startup building an open-source, GitOps-native distributed operating system on top of Kubernetes. You will work closely with the founding team to design and evolve core platform features, making multi-cluster management intuitive for developers running demanding AI workloads. The work spans the full infrastructure stack, from bare metal to production-grade Kubernetes.

What You'll Do

• Build and extend core platform features in Go, including custom Kubernetes operators and controllers.

• Design and implement GitOps workflows with ArgoCD to make continuous deployment seamless.

• Develop infrastructure-as-code patterns using Terraform and Helm to provision and manage clusters.

• Work on distributed storage solutions using Ceph and WEKA for high-performance, scalable cluster storage.

• Create observability and monitoring systems with Prometheus and Grafana to surface cluster health and performance.

• Build and optimize container networking with Cilium for network security and observability.

• Design and implement federated Kubernetes architectures for multi-cluster management.

• Build automation tooling that reduces operational overhead for developers running production workloads.

What We're Looking For

• 2 to 5+ years of software development experience, with a strong systems or infrastructure focus.

• Hands-on proficiency in Go, including writing Go in a Kubernetes environment.

• Production Kubernetes experience: managing clusters at meaningful scale, writing operators and controllers, working with CRDs.

• Experience with distributed storage solutions such as Ceph or WEKA.

• Experience designing federated Kubernetes architectures for multi-cluster management.

• Familiarity with GitOps workflows and ArgoCD.

• Experience with infrastructure-as-code tools such as Terraform and Helm; Ansible or Kubespray is a plus.

• Background with container networking, CNI plugins, or service mesh technologies such as Istio or Linkerd.

• Experience with cloud platforms (AWS, GCP, or Azure) and their managed Kubernetes offerings.

• Familiarity with observability tooling such as Prometheus and Grafana.

• Experience with GPU infrastructure or bare metal environments is a strong plus.

• Contributions to Kubernetes ecosystem tooling or similar open-source infrastructure projects are a bonus.

Compensation & Benefits

Salary range: $180,000 to $210,000 USD annually. Visa sponsorship is available.

Location

On-site in San Francisco, California. Candidates must be able to work in person full-time.