Kubernetes Audit & Production-Readiness Specialist

Obsidian; San Francisco (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Obsidian seeks a Kubernetes-focused evaluator to judge task quality and production-readiness for frontier AI model training and evaluation. You will review cluster operations, manifests, and failure modes, delivering rubric-based feedback to guide improvements.

Required are 3+ years in production Kubernetes, strong understanding of cluster internals, and proficiency in Go, Python, or TypeScript. Experience with Helm and observability tools is a plus.

Qualifications

• 3+ years hands‑on production Kubernetes experience (EKS/GKE/AKS or self‑managed).
• Deep understanding of cluster internals: CNI/DNS/ingress, PV/PVC storage, RBAC, and failure modes.
• Experience authoring and reviewing manifests / Helm charts and debugging live cluster incidents.
• Proficiency in Go, Python, or TypeScript.

Responsibilities

• Evaluate the quality, correctness, and production-readiness of Kubernetes tasks used to train and evaluate frontier AI models.
• Assess cluster-operations scenarios, manifest correctness, and failure-mode troubleshooting.
• Provide rubric-based written feedback and concrete improvement recommendations.

Skills

Kubernetes

Helm charts

Go

Python

TypeScript

Incident troubleshooting

RBAC/IAM

Tools

Istio

Prometheus

Grafana

EKS/GKE/AKS

Job description

Obsidian seeks a Kubernetes-focused evaluator to judge task quality and production-readiness for frontier AI model training and evaluation. You will review cluster operations, manifests, and failure modes, delivering rubric-based feedback to guide improvements.

Required are 3+ years in production Kubernetes, strong understanding of cluster internals, and proficiency in Go, Python, or TypeScript. Experience with Helm and observability tools is a plus.