Kubernetes Engineer
Kubegrade
IndiaremotePosted 1 month ago
Skill Required
Kubernetes-EngineerPlatform-EngineeringSite-Reliability-EngineeringSRE-DevOpsCloud-Infrastructure-EngineeringAzure-Kubernetes-EngineerKubernetes-Operations-EngineerKubernetes-Solutions-EngineerKubernetes-Platform-EngineerKubernetes-EngineeringKubernetes-Security-EngineerOperationsKubernetestroubleshootingObservabilityPrometheusnetworkingautomationsecuritydesignDevOpsArgoCDCloudHelmandAIFulltime
Key highlights
- Remote (global) position
- Full-time role
- Strong, practical Kubernetes experience required (hands-on, not theoretical)
- Must be able to independently complete a pre-interview task on app.kubegrade.com with a connected cluster
- Interview is a technical discussion focused on Kubernetes experience and hands-on product usage
- Prefers candidates with platform/SRE/DevOps background in regulated or large-scale environments and experience operating 10+ clusters
Role overview
Kubegrade is building an AI-driven platform that automates Kubernetes upgrades, maintenance, drift detection, and troubleshooting using AI agents and GitOps workflows, targeting platform teams running real production clusters at scale. This full-time, fully remote Kubernetes Engineer role combines deep hands-on Kubernetes engineering with product-focused responsibilities, requiring candidates to be both operators and domain experts who can translate real operational pain into product improvements.
Responsibilities
- Design, operate, and troubleshoot Kubernetes clusters in production environments
- Work directly with Kubegrade's platform to validate real-world Kubernetes workflows
- Improve cluster visibility and UX
- Define troubleshooting and remediation logic
- Translate Kubernetes operational pain into product requirements
- Contribute to internal tooling, automation, and best practices
- Act as a Kubernetes domain expert in product discussions
- Handle upgrades and API deprecations
- Address configuration drift
- Resolve misconfigured workloads, networking, storage, or security
Requirements
- Strong, practical Kubernetes experience (not theoretical)
- Ability to debug production incidents
- Ability to reason about control plane vs workload issues
- Understanding of real upgrade and lifecycle challenges
- Knowledge of Kubernetes internals
- Experience with Helm, Kustomize, or GitOps workflows
- Experience with observability stacks (Prometheus, Grafana, logs, traces)
- Comfortable working autonomously in a remote, async environment
- Mandatory Pre-Interview Requirement (Non-Negotiable): Before any interview, candidates must access app.kubegrade.com, create an account, and connect at least one Kubernetes cluster (cloud, on-prem, or local), then explore cluster and namespace visualization, signals/issues/context surfaced by the platform, AI agents for troubleshooting and remediation actions, what the product does well, what is unclear or broken, how it fits (or doesn't) into real Kubernetes operations, and how they would improve it for platform teams. If you cannot do this independently, this role is not a fit.
Nice to have
- Platform / SRE / DevOps background in regulated or large-scale environments
- Experience operating 10+ clusters
- Experience with Kubernetes upgrades across multiple versions
- Experience with API deprecation management
- Experience with multi-cloud or hybrid environments
- Opinionated views on how Kubernetes tooling should work
Additional details
- Company: Kubegrade
- Location: Remote (global)
- Type: Full-time
- What We Care About: Depth of Kubernetes understanding; ability to reason clearly about complex systems; direct, technical communication; independent problem-solving; product thinking grounded in real operational pain
- What We Don't Care About: Buzzwords; shallow certifications without hands-on experience; passive users of managed platforms with no understanding of what's underneath
- Interview Focus: The interview is a technical discussion centered on your Kubernetes experience, your hands-on usage of Kubegrade, and your ability to critique, reason, and propose improvements. If you cannot meaningfully discuss the product after using it, you will not pass.
- Originally posted on Himalayas