A guide to hiring a Kubernetes developer
Kubernetes is a system for running containers across many machines. It restarts what fails, moves work around, scales up and down and rolls out new versions in steps. It is also complex, and many teams adopt it before they are ready. This guide covers the tasks of the role, how it compares with related jobs and how to work with a remote specialist. It is aimed at engineering managers and founders who run several services.
What a Kubernetes developer is responsible for
The first part is the platform. A Kubernetes developer sets up the cluster, chooses node sizes, designs namespaces and networking, and sets who can do what. The second part is the workloads. They write the files that describe each service, package them with Helm, add health checks and set how much memory and processor time each one may use. The third part is care: monitoring, alerts, upgrades, backups and cost. They also write down how it works, so the team is not locked out of its own system.
How a Kubernetes developer differs from other roles
A Docker developer builds the images that run inside the cluster. A DevOps engineer owns the wider path from code to production, including pipelines and cloud accounts. A cloud specialist such as an AWS developer builds on one provider’s services, which can include its managed Kubernetes. A Kubernetes developer sits on the cluster itself. A small team may have one person doing all of it, so first work out where your real gap is.
When a Kubernetes developer makes sense
- You run many services and need updates without downtime.
- Traffic swings a lot, and you want capacity to follow it.
- You already have a cluster, but it is fragile, costly or poorly understood.
- You plan to move from servers or a simple container host to Kubernetes.
- Different teams need their own spaces on shared infrastructure.
If you run one or two services with steady traffic, Kubernetes may add more work than it removes. Start with a simpler host, and let a specialist tell you honestly when the time is right.
Reading a Kubernetes developer’s background
Check what the person actually operated. Ask about the number of services, the cloud, what failed and how it was repaired. A good answer tells of one incident, its cause and the change that followed. Be wary when a resume only says “used Kubernetes”. Applying a ready-made file is easy, while keeping a production cluster healthy over months is the real skill.
Interview questions to try
- A pod is stuck in pending. How do you find out why?
- How do you set resource requests and limits for a new service?
- How do you keep secrets safe in a cluster?
- Describe how you would roll out an update and roll it back.
- When would you advise a team not to use Kubernetes?
Listen for calm, ordered steps and honest limits. Doubt anyone who treats Kubernetes as the answer to every problem.
Set a short paid task
Choose a small job from your own setup for every finalist. Useful examples are writing a deployment and service for a sample app with health checks, reviewing the settings of an existing cluster and listing the top three risks, or finding why a broken sample deployment fails. Pay for the hours. Check whether the work is clear, whether the person explains each choice and whether they ask about your traffic and budget.
Match the person to your platform
Clusters differ across providers. Managed services such as EKS on AWS, GKE on Google Cloud and AKS on Azure each have their own networking and access details. If you run on one of them, ask for experience there. If you run on your own servers, ask who has handled upgrades, storage and the control plane before. Check that the candidate knows your monitoring tools or can learn them quickly.
Agree access and routines
Set up personal logins with role based permissions, and register the cluster and cloud accounts to your company. Decide who approves production changes, who gets the call when an alert fires and how out-of-hours cover works. A weekly meeting with app developers keeps the cluster matched to the code. End access when the engagement ends.
Working with your team
Hold cluster files in the code repository, or one next to it, so they go through normal review. Ask for a short runbook that covers deploying, rolling back and the first checks for common failures. After every incident, hold a brief review that fixes the process and does not blame a person. Over time your developers should be able to ship and debug their own services with little help.
Mistakes to avoid
- Adopting Kubernetes for one small app that a simple host could run.
- Skipping resource requests and limits, so one service can starve the rest.
- Giving everyone full admin rights on the cluster.
- Putting secrets into plain files stored in the code repository.
- Delaying upgrades until the cluster version is too old to support.
Looking at the bigger picture? See our pages to hire DevOps engineers and Docker developers.