About this opportunity
Confidential lists this Kubernetes Task Auditor opportunity in Wolf Trap, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Role Overview
Review Kubernetes tasks that support the training and evaluation of advanced AI models. You will assess cluster-operations scenarios, manifest accuracy, production readiness, and troubleshooting for common failure modes, then deliver clear written feedback using defined evaluation rubrics.
Key Responsibilities
Evaluate the quality, correctness, and production readiness of Kubernetes tasks.
Review cluster-operations scenarios, Kubernetes manifests, and failure-mode troubleshooting.
Provide concise, rubric-based written feedback on task quality and technical accuracy.
Qualifications
At least 3 years of hands-on production Kubernetes experience, including EKS, GKE, AKS, or self-managed environments.
Deep knowledge of cluster internals, including CNI, DNS, ingress, PV/PVC storage, RBAC, and failures such as CrashLoopBackOff, OOMKilled, scheduling issues, and eviction.
Experience authoring and reviewing Kubernetes manifests or Helm charts, and debugging live cluster incidents.
Proficiency in Go, Python, or TypeScript.
Preferred Qualifications
CKA or CKAD certification.
Experience with service meshes, autoscaling, and observability tools, including Istio, HPA, Prometheus, and Grafana.
Previous SRE, platform engineering, or task-grading experience.
Work Terms
Remote, available to candidates located in the United States.
Hourly engagement.
Compensation
$70 to $90 per hour.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.