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Platform Engineer (Kubernetes)

Clera · San Francisco

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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.