Kubernetes Engineer

This is a fully remote position, open to applicants in New York.

📋 Description

• Analyze production-focused Kubernetes scenarios in both managed and self-hosted environments.

• Evaluate cluster configurations, workload behaviors, and operational readiness.

• Assess Kubernetes networking, service discovery, CNI, DNS, ingress, and service connectivity.

• Examine PersistentVolume, PersistentVolumeClaim, storage classes, volume lifecycles, provisioning, mounting, and persistence challenges.

• Review RBAC configurations, roles, cluster roles, bindings, service-account permissions, and decisions surrounding least-privilege access.

• Diagnose issues such as CrashLoopBackOff, OOMKilled, scheduling failures, pod eviction, connectivity problems, routing, and other Kubernetes-related failures.

• Create and review Kubernetes manifests while assessing Helm charts for accuracy, maintainability, and deployment safety.

• Analyze resource specifications, probes, requests, limits, selectors, dependencies, and templating.

• Evaluate live-cluster troubleshooting scenarios, diagnostic reasoning, incident-response strategies, prioritization, escalation, and remediation efforts.

• Assess considerations related to scaling, availability, resilience, observability, autoscaling, service mesh, and production readiness.

• Review Prometheus and Grafana for monitoring, alerting, metrics, logs, operational signals, HPA configurations, and Istio scenarios.

• Evaluate Kubernetes tasks against structured technical criteria and deliver clear, rubric-based written feedback.

• Reference configuration, runtime behavior, and diagnostic evidence to differentiate valid alternatives from incorrect solutions.

⛳️ Requirements

• Minimum of 3 years of hands-on experience with production Kubernetes environments.

• Experience managing EKS, GKE, AKS, or self-managed Kubernetes clusters.

• In-depth knowledge of CNI, DNS, ingress, PV/PVC storage, RBAC, scheduling, and cluster failure modes.

• Extensive experience in authoring and reviewing Kubernetes manifests and Helm charts.

• Proven track record in debugging live incidents in production clusters.

• Proficiency in programming languages such as Go, Python, or TypeScript.

• Strong understanding of workload resource management and ensuring production reliability.

• CKA or CKAD certification is preferred.

• Familiarity with Istio, HPA, Prometheus, Grafana, or similar technologies is a plus.

• Previous experience in SRE, platform engineering, code review, or technical task grading is advantageous.

• Excellent written communication skills with the ability to provide precise technical feedback.

• Work must be conducted without utilizing confidential or proprietary information from any employer, client, institution, or other third party.

• H1-B and STEM OPT support is not available for this position.

🏝️ Benefits

• Part-time independent contractor position.

• Fully remote work within the United States.

• Flexible scheduling based on project requirements.

• Compensation ranges from $60 to $80 per hour.

• Project durations may be extended, shortened, or concluded based on needs and performance.