Mid-Level Platform Engineer; Kubernetes

Join an early-stage AI infrastructure team building tools that simplify the deployment and operation of production Kubernetes environments. You will help shape the platform and infrastructure layer that enables developers to manage workloads across multiple clusters.

• Build platform features in Go, including custom Kubernetes operators and controllers.
• Design Git Ops workflows with ArgoCD to support continuous deployment.
• Create infrastructure-as-code patterns with Terraform and Helm to provision and manage clusters.
• Work on distributed storage using Ceph and WEKA for scalable, high-performance environments.
• Develop observability and monitoring with Prometheus and Grafana to surface cluster health and performance.
• Improve container networking with Cilium, with attention to security and observability.
• Design federated Kubernetes architectures for multi-cluster management.
• Build automation that reduces operational work for developers running production workloads.

• At least 2 years of software development experience, with around 5 years preferred.
• Hands-on experience writing Go for Kubernetes environments and managing production Kubernetes clusters at meaningful scale.
• Experience with distributed storage such as Ceph or WEKA, and designing multi-cluster or federated Kubernetes architectures.
• Practical experience with Git Ops and ArgoCD, plus infrastructure as code using Terraform, Helm, or comparable tools.
• Familiarity with observability tools such as Prometheus and Grafana; open-source infrastructure contributions are a plus.
• Knowledge of cloud-native infrastructure, container networking, and cloud platforms is valuable.

Base salary: $180,000 to $210,000 annually. Visa sponsorship is available.

This is a full-time, on-site role in San Francisco, California, United States.