About the Role
We're a small, fast-moving AI infrastructure company building an open-source, GitOps-native distributed operating system on top of Kubernetes — purpose-built to handle demanding AI workloads including inference pipelines, distributed training, storage orchestration, and GPU scheduling. Our platform enables companies to go from bare metal to a fully operational, production-grade AI cluster in days.
As a Platform Engineer, you'll work shoulder-to-shoulder with the founding team to design and evolve the core platform: abstracting away Kubernetes complexity without sacrificing its power. This is a high-ownership, high-impact role at a company where your architectural decisions will directly shape the product and the engineering culture. Visa sponsorship is available.
What You'll Do
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Build and extend core platform features in Go, including custom Kubernetes operators and controllers.
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Design and implement GitOps workflows with ArgoCD to make continuous deployment seamless and automatic.
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Develop infrastructure-as-code patterns using Terraform and Helm to provision and manage clusters at scale.
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Work on distributed storage solutions using Ceph and WEKA for high-performance, scalable cluster storage.
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Build observability and monitoring systems with Prometheus and Grafana to surface cluster health and performance.
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Optimize container networking with Cilium for network security and deep observability.
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Design and implement federated Kubernetes architectures for multi-cluster management.
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Build automation tooling that reduces operational overhead for developers running production workloads.
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Contribute to open-source components and help establish platform architecture patterns as an early team member.
What We're Looking For
Required:
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2+ years of software development experience (strong foundational talent is prioritized over years of specific experience).
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Proficiency in Go with hands-on experience building developer tools or infrastructure products.
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Solid Kubernetes experience — operators, CRDs, controllers, and/or etcd.
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Experience with distributed storage solutions such as Ceph and/or WEKA.
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Genuine hunger and self-direction; you thrive with autonomy and take ownership of your work.
Nice to Have:
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Experience with ArgoCD and CI/CD pipeline automation workflows.
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Hands-on experience with Terraform, Helm, and related IaC tooling; familiarity with Ansible or Kubespray is a plus.
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Background with service mesh technologies (Istio, Linkerd) or CNI plugins.
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Experience with cloud platforms (AWS, GCP, Azure) and their managed Kubernetes offerings.
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Contributions to Kubernetes ecosystem tools or other open-source infrastructure projects.
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Experience with containerization, networking, and cloud-native architectures.
Compensation & Benefits
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Salary: $150,000 – $200,000 USD annually
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Early-stage equity
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Visa sponsorship available
Location
This is a full-time, on-site role based in San Francisco, CA. We work in person and believe in the energy and speed that comes from being in the same room as your teammates.
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