Platform Engineer

platform engineering team. Leading AI inference companies already run their production fleets on it. ‍ APPLY NOW Platform Engineer San Francisco In-Person Full-time READ MORE We're looking for a Platform Engineer who will be instrumental in building and evolving clusterdOS. You'll work directly with our founding team to design systems that abstract away Kubernetes complexity while preserving its power. You'll design GitOps workflows, build Kubernetes operators and controllers, and create the automation that makes cluster management invisible to end users. What You'll Do Build and extend clusterdOS core features using Go, including custom Kubernetes operators and controllers Design and implement GitOps workflows with ArgoCD that make continuous deployment feel automatic Develop infrastructure-as-code patterns using Terraform and Helm that provision and manage clusters seamlessly Work on distributed storage solutions using Ceph and WEKA for high-performance, scalable cluster storage Create observability and monitoring systems using 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 Contribute to open source components Establish platform architecture patterns and practices as an early engineering team member What We're Looking For Go — Strong proficiency building system-level tooling, controllers, and distributed systems ArgoCD — Deep experience with GitOps workflows, declarative infrastructure, and continuous deployment patterns Kubernetes — Production experience with Kubernetes internals, custom resources (CRDs), operators, cluster architecture, etcd clusters, including backup/restore procedures and troubleshooting cluster health issues Infrastructure as Code — Experience with Terraform, Helm, or similar tools for automating infrastructure provisioning. Experience with Ansible, Kubespray, or similar orchestration frameworks Observability — Familiarity with monitoring and logging systems like Prometheus, Grafana, or similar platforms Strong understanding of containerization, networking, and cloud-native architectures Experience with CI/CD pipelines and automation workflows Ability to design systems that are both powerful and simple to use Self-directed with good prioritization instincts — you can identify what matters and execute accordingly Nice to Have Experience building developer tools or infrastructure products Background with service mesh technologies (Istio, Linkerd) or CNI plugins Contributions to projects or Kubernetes ecosystem tools Familiarity with cloud platforms (AWS, GCP, Azure) and their managed Kubernetes offerings Experience with policy-as-code and security tooling for Kubernetes Track record shipping infrastructure products that developers love Understanding of FinOps and infrastructure cost optimization What Makes You Successful You stay calm under pressure and know when to escalate versus dig deeper yourself You communicate clearly with both engineers and non-technical stakeholders, especially when things break You're curious about root causes and genuinely interested in preventing problems before they happen You work with low ego APPLY NOW