We sit in on debriefs after almost every DevOps interview we run. The questions that actually separate candidates aren't always the ones you'd expect. Neither are the answers that land well.
If you've read our other posts in this series (What Does a DevOps Engineer Actually Do in 2026? and How to Become a DevOps Engineer in 2026), you'll know DevOps interviews tend to test something slightly different from most engineering interviews. Less "can you solve this algorithm," more "have you actually run things in production and lived with the consequences."
Here's what comes up most often, drawn from the briefs and feedback we see across our clients. And what tends to separate a good answer from a great one.
Technical fundamentals
"Walk me through what happens when you push a commit, from that push to it running in production."
This is close to a universal opener. Interviewers aren't testing whether you know the buzzwords (CI, CD, pipeline). They're testing whether you understand what each stage is actually doing and why it exists. Candidates who name tools without explaining the reasoning ("it goes through Jenkins, then Kubernetes") tend to lose marks against candidates who can explain what would break if a stage were skipped.
"How would you design the infrastructure for [a described system]?"
Usually posed as an open scenario rather than a single right answer. What interviewers are really watching for is whether you ask clarifying questions before diving in: traffic patterns, budget constraints, existing team skills. Reaching straight for the most sophisticated architecture you know is a common trap. Over-engineering a simple problem is one of the fastest ways candidates lose ground here.
"Describe your experience with Infrastructure as Code. What happens when a Terraform apply goes wrong halfway through?"
Given how central Terraform (or equivalent tools) has become to DevOps briefs, expect this in some form at almost every interview. The strongest answers describe a real incident: what state things were left in, how it was diagnosed, what changed afterwards to prevent a repeat. Not just a definition of state files and plans.
The incident question
"Tell me about a production incident you were involved in. What happened, and what did you do?"
This is arguably the single most revealing question in a DevOps interview. It's asked in some form almost every time. What employers are listening for:
- Ownership language ("I noticed," "I escalated," "I fixed") rather than passive description of what happened around you
- A calm, structured account of diagnosis, not just the eventual fix
- What changed afterwards. A postmortem, a new alert, a process fix. A story that ends at "we fixed it" misses the part employers care about most
If you genuinely haven't been the person handling an incident yet, it's fine to describe one you supported closely, but be honest about your role in it. Interviewers can tell. Overclaiming here damages trust more than admitting limited experience does.
Judgement and trade-offs
"How do you decide what to automate and what to leave manual?"
A question aimed at separating engineers who automate everything reflexively from those who think about return on effort. Good answers reference frequency, risk, and the cost of getting automation wrong. Not just "automate everything you can."
"A developer wants to ship faster and skip a step in the pipeline for one release. How do you handle that?"
This tests how you handle the tension between velocity and reliability, close to the core of what DevOps as a discipline exists to manage. Interviewers are wary of both extremes: rigid gatekeeping that ignores business pressure, or simply agreeing to skip the safeguard. The strongest answers describe a conversation. Understanding the pressure, then finding a safer way to move fast, or clearly explaining the risk if there genuinely isn't one.
Security and increasingly, AI
"How do you handle secrets and credentials in your pipelines?"
DevSecOps has moved from a nice-to-have to a near-standard question. Candidates who can describe a real secrets management approach, not just "we use environment variables," stand out immediately.
"Have you used AI tools in your workflow? Where do you think they help, and where don't you trust them?"
An increasingly common question in 2026 briefs. Employers aren't expecting deep AI expertise from a DevOps hire. They are increasingly listening for judgement: candidates who can describe using AI tools for genuine productivity while still being clear-eyed about where they don't trust the output unsupervised.
What we tell candidates before these interviews
Come with two or three real stories ready: an incident, an automation project, a difficult trade-off. Be ready to go deep on them rather than skating across a long list of tools. Depth beats breadth in almost every DevOps interview we've sat in the loop for.
If the honest answer to a question is "I haven't done that yet," say so, then talk about the closest thing you have done. Interviewers are generally trying to work out how you think, not catch you out. That's easier to see clearly when you're not overclaiming.
For the earlier stages of getting into these interviews in the first place, our guides on engineering CV tips and how to become a DevOps engineer cover what gets you to this point.
Platform Recruitment places engineers across the UK, USA and Germany. We prepare candidates for exactly these conversations.
Get in touch: sales@platform-recruitment.com | 0208 445 4577
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