What Should I Expect in a DevOps Interview, and How Should I Prepare?

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Asked By MellowCedar47 On

I've been working full time for about a year, but I've relied heavily on AI tools for basic coding. I understand the code I'm using, but I'm rusty when it comes to writing scripts from scratch, and I've never been a fan of memorizing algorithm exercises just to pass interviews.

I was recently contacted about a DevOps position. Friends who have interviewed for similar roles mostly received scenario-based, troubleshooting, and system-design questions rather than traditional coding exercises. However, I've also heard that some companies ask candidates to write scripts or complete practical tasks involving Linux, networking, cloud infrastructure, or configuration.

I'm comfortable researching commands when I forget them, but I'm not sure whether looking up documentation would be allowed during an interview. What does a typical DevOps interview involve, and which topics should I prioritize studying?

4 Answers

Answered By OrbitingPanda8 On

There really isn’t one standard DevOps interview. The title can cover infrastructure, operations, cloud, platform engineering, or software-heavy work, so the process depends on what that company actually needs.

Expect questions about projects on your résumé, how you troubleshoot incidents, how you would build or improve a CI/CD pipeline, and how you approach system design. You may also get practical questions about Linux, networking, Terraform, containers, Kubernetes, observability, databases, or cloud services. Coding is usually scripting or data manipulation rather than difficult algorithm puzzles, although some larger companies still include those.

Focus on understanding concepts instead of memorizing commands: DNS and HTTP behavior, Linux troubleshooting, permissions, networking, deployment strategies, infrastructure as code, container failures, logging and monitoring, and incident response. Practice explaining your reasoning out loud. Most interviewers care more about how you investigate a problem than whether you remember an exact flag.

QuietMaple31 -

It’s also worth asking the recruiter what the interview format includes. They may be able to tell you whether there will be live coding, a take-home exercise, system design, or a practical troubleshooting session.

Answered By CopperFalcon62 On

Interviewers often let candidates use documentation, especially for commands or cloud SDK syntax. In real DevOps work, nobody expects you to remember every option from memory. Still, don’t assume it—ask at the beginning whether documentation or a search engine is allowed.

You should be able to reason through tasks without searching for the fundamentals. For example, know how you would investigate a pod that will not start, a service that cannot reach its database, a DNS failure, a broken deployment, or a sudden increase in latency. Talk through the checks you would perform, what evidence you would collect, and how you would avoid making the incident worse.

Answered By SensibleOtter14 On

The job description may not tell the whole story. Two roles with the same title can have completely different interviews: one might focus on cloud and serverless systems, another on on-premises Kubernetes, and another on infrastructure administration.

Read the requirements carefully and prepare stories using your own experience. Be clear about what you personally built or owned instead of describing only what your team accomplished. Scenario questions are usually testing judgment, communication, security awareness, and whether you can learn unfamiliar tools—not just raw syntax.

Answered By BlueKite903 On

The best preparation is to pick one area and go deep rather than trying to memorize every tool. For example, learn one cloud provider well while understanding the broader ideas behind storage classes, redundancy, identity and access management, networking, and cost or security tradeoffs. Those principles transfer to other providers.

For coding, review basic Python, Bash, or PowerShell and practice small automation tasks: parsing a file, calling an API, transforming data, checking service health, or handling errors. For infrastructure, be ready to discuss a deployment pipeline, Terraform structure, Kubernetes debugging, and how you would safely roll back a failed release.

If you have a homelab or personal project, prepare to explain exactly what you built, why you chose each component, how it failed, and what you would improve. That gives you concrete experience to discuss and is often more useful than trying to memorize trivia.

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