Kubernetes Engineer

Role: Kubernetes Engineer Company:Kubegrade Location: Remote (global) Type: Full-time

What Kubegrade Does

Kubegrade automates Kubernetes upgrades, maintenance, drift detection, and troubleshooting using AI agents and GitOps workflows. We build for platform teams running real production clusters at scale. This is not a toy environment. This role assumes deep, hands-on Kubernetes experience.

Mandatory Pre-Interview Requirement (Non-Negotiable)

Before any interview:

Access and create account on app.kubegrade.com

Connect at least one Kubernetes cluster (cloud, on-prem, or local)

Use the product hands-on:Cluster and namespace visualization

Signals, issues, and context surfaced by the platform

AI agents for troubleshooting and remediation actions

Come prepared to discuss:What the product does well

What is unclear or broken

How it fits (or doesnt) into real Kubernetes operations

How you would improve it for platform teams

This is a filter. If you cannot do this independently, this role is not a fit.

Responsibilities

Design, operate, and troubleshoot Kubernetes clusters in production environments

Work directly with Kubegrades platform to validate real-world Kubernetes workflows

Collaborate with product and engineering to:Improve cluster visibility and UX

Define troubleshooting and remediation logic

Translate Kubernetes operational pain into product requirements

Analyze failures related to:Upgrades and API deprecations

Configuration drift

Misconfigured workloads, networking, storage, or security

Contribute to internal tooling, automation, and best practices

Act as a Kubernetes domain expert in product discussions

Required Experience

Strong, practical Kubernetes experience (not theoretical)

Proven ability to:Debug production incidents

Reason about control plane vs workload issues

Understand real upgrade and lifecycle challenges

Solid knowledge of:Kubernetes internals

Helm, Kustomize, or GitOps workflows

Observability stacks (Prometheus, Grafana, logs, traces)

Comfortable working autonomously in a remote, async environment

Strong Plus

Platform / SRE / DevOps background in regulated or large-scale environments

Experience operating 10+ clusters

Familiarity with:Kubernetes upgrades across multiple versions

API deprecation management

Multi-cloud or hybrid environments

Opinionated views on how Kubernetes tooling should work

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 Dont Care About

Buzzwords

Shallow certifications without hands-on experience

Passive users of managed platforms with no understanding of whats underneath

Interview Focus

The interview is a technical discussion centered on:

Your Kubernetes experience

Your hands-on usage of Kubegrade

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