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Clera

Platform Engineer (Kubernetes)

San Francisco$150k–$200kfulltimemidAdded 6 days ago

About this role

Join an AI infrastructure startup as a Platform Engineer to build Kubernetes-native systems that simplify distributed AI workloads. You'll design core platform features in Go, implement GitOps workflows, and work with cutting-edge storage and networking technologies in a high-ownership role at a founding team level.

What you'll do

  • Build custom Kubernetes operators and controllers in Go to extend core platform capabilities
  • Design and implement GitOps workflows with ArgoCD for seamless continuous deployment
  • Develop infrastructure-as-code patterns using Terraform and Helm for cluster provisioning and management
  • Build observability systems with Prometheus and Grafana to monitor cluster health and performance
  • Work on distributed storage solutions using Ceph and WEKA for high-performance scalability
  • Design federated Kubernetes architectures for multi-cluster management and automation

What they're looking for

  • Go programming
  • Kubernetes (operators, CRDs, controllers, etcd)
  • Distributed storage (Ceph, WEKA)
  • ArgoCD and CI/CD workflows
  • Terraform and Helm
  • Prometheus and Grafana
  • Container networking (Cilium)
  • Cloud platforms (AWS, GCP, Azure)

Benefits

  • Competitive salary ($150,000–$200,000 annually)
  • Early-stage equity
  • Visa sponsorship available
  • On-site collaboration in San Francisco with founding team
  • High ownership and architectural influence on product direction
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Clera

Clera builds an agentic operating system that automates complex workflows and processes through AI agents, with a platform designed to simplify distributed infrastructure management for developers. The company is hiring Founding Engineers, Customer Engineers, and Product Engineers to develop both backend systems and user-facing interfaces across their AI automation products.

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Likely interview questions

  • Describe your experience building Kubernetes operators or custom controllers—what did you build and what challenges did you face?
  • How have you used GitOps and ArgoCD in a production environment, and what benefits did it bring to your deployment process?
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