Kubernetes Engineer

Job not on LinkedIn

🔥 10 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $60 - $80 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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24-MAG

WebsiteLinkedInAll Job Openings

2 - 10 employees

🤝 B2B

💼 Consulting

B2B • Consulting

24-MAG is a commercial strategy and execution firm that helps B2B organizations design and implement systems, workflows, and operating rhythms for sales, client management, and cross-functional projects. They focus on transforming scattered processes into aligned, measurable, and scalable commercial functions—covering pipeline structure, account management frameworks, and operational discipline for teams seeking efficient, intentional growth.

📋 Description

• Review production-oriented Kubernetes scenarios across managed or self-hosted environments • Assess cluster configuration, workload behaviour, and operational readiness • Evaluate Kubernetes networking, service discovery, CNI, DNS, ingress, and service connectivity • Review PersistentVolume, PersistentVolumeClaim, storage class, volume lifecycle, provisioning, mounting, and persistence issues • Evaluate RBAC configurations, roles, cluster roles, bindings, service-account permissions, and least-privilege decisions • Diagnose CrashLoopBackOff, OOMKilled, scheduling failures, pod eviction, connectivity, routing, and other Kubernetes failures • Author and review Kubernetes manifests and evaluate Helm charts for correctness, maintainability, and deployment safety • Review resource specifications, probes, requests, limits, selectors, dependencies, and templating • Evaluate live-cluster troubleshooting scenarios, diagnostic reasoning, incident-response decisions, prioritisation, escalation, and remediation • Assess scaling, availability, resilience, observability, autoscaling, service-mesh, and production-readiness considerations • Review Prometheus and Grafana monitoring, alerting, metrics, logs, operational signals, HPA configurations, and Istio scenarios • Assess Kubernetes tasks against structured technical criteria and provide clear rubric-based written feedback • Reference configuration, runtime behaviour, and diagnostic evidence while distinguishing valid alternatives from incorrect solutions

🎯 Requirements

• 3+ years of hands-on production Kubernetes experience • Experience operating EKS, GKE, AKS, or self-managed Kubernetes clusters • Deep understanding of CNI, DNS, ingress, PV/PVC storage, RBAC, scheduling, and cluster failure modes • Strong experience authoring and reviewing Kubernetes manifests and Helm charts • Demonstrated experience debugging live production cluster incidents • Proficiency in Go, Python, or TypeScript • Strong understanding of workload resource management and production reliability • CKA or CKAD certification is preferred • Experience with Istio, HPA, Prometheus, Grafana, or comparable technologies is advantageous • Previous SRE, platform engineering, code-review, or technical task-grading experience is advantageous • Strong written communication and ability to provide precise technical feedback • Work must be completed without using confidential or proprietary information belonging to any employer, client, institution, or other third party • H1-B and STEM OPT support is unavailable for this engagement

🏖️ Benefits

• Part-time independent contractor engagement • Fully remote within the United States • Flexible scheduling based on project requirements • Compensation of $60–$80/hour • Projects may be extended, shortened, or concluded based on project needs and performance