Why pre-screen DevOps engineers before the technical interview
The tooling list on a DevOps resume is the least useful part of it. Everyone has the same platforms and the same certifications, and none of that says whether someone has been woken up by a system they built. That experience changes how people work: they instrument more, they automate recovery, and they can tell you what their last incident actually was. A short screen asks about being paged, which is a question the tooling list cannot answer.
What actually matters when screening DevOps Engineer candidates
- 01
Technical proficiency
Check hands-on depth with Terraform or Pulumi, Kubernetes primitives, and CI runners such as GitHub Actions, GitLab CI, or Argo CD; ask what they wrote versus inherited.
- 02
Systems and trade-offs
Probe architecture calls: blue/green versus canary, managed RDS versus self-hosted, monolith pipeline versus per-service, and how cost, blast radius, and on-call load shaped the choice.
- 03
Evidence and rigour
Test how they prove reliability: SLOs, error budgets, p99 latency, MTTR, Prometheus alert tuning, and a specific postmortem with its measured before and after.
- 04
Collaboration and communication
Assess how they work with developers: golden paths, self-service platform docs, on-call handovers, and pushing back on a release that failed readiness checks.
Pre-screening questions to ask DevOps Engineer candidates
12 questions grouped by what they test. Ask the same set in every screen and score answers on a consistent scale, or send them as an async video screen and compare answers side by side.
Systems they ran
3 questions01Can you describe your experience with cloud computing services?
Listen forServices used in production with cost and scaling understood, plus a decision made because compute was not free.
Services named from documentation, or resources provisioned with no view on what they cost.
02Do you have experience managing distributed systems?
Listen forReal failure modes described such as partial outages or retry storms, drawn from a system they operated.
Distributed systems discussed in the abstract, or no experience of a failure that was not total.
03How have you used containers in your past projects?
Listen forContainers run in production with image size, base image patching and resource limits handled deliberately.
Containers used only in development, or images built with no attention to size or provenance.
Infrastructure in code
4 questions04Are you familiar with infrastructure as code, and can you give examples of using it?
Listen forState managed properly with an honest account of what remained manual, and how drift was detected.
Claims everything is in code with no exceptions, or changes made by hand alongside the code.
05Can you describe a time when you implemented a significant improvement to a delivery pipeline?
Listen forA measured improvement such as build time or deployment frequency, with the number before and after.
Improvements claimed with no measurement, or a pipeline that teams routinely bypassed.
06Do you have experience with configuration management tools?
Listen forTools used to bring systems to a desired state, with a view on where they fit alongside immutable infrastructure.
Tools named with no systems behind them, or configuration applied manually in parallel.
07Can you explain how you have used automation to solve a complex technical problem?
Listen forAutomation that removed recurring toil, with the time saved and how failures in the automation are handled.
Automation that fails silently, or scripts that only run correctly on their own machine.
Behaviour in an outage
3 questions08Can you provide an example of a time you had to deal with an emergency or outage?
Listen forA real incident with what alerted them, communication during it, and the change made afterwards.
No incident they can describe, or an outage resolved with no follow-up action.
09How do you approach problem-solving when an application is not working as expected?
Listen forA method that narrows the problem using evidence, with the point at which they involve the application team.
Services restarted as a first response, or the cause never established once the symptom cleared.
10What monitoring tools have you used to identify infrastructure problems?
Listen forAlerts tuned so they are actionable, with a specific problem caught before users noticed it.
Alert volume so high the team ignores it, or monitoring that only reports after an outage.
Recovery tested
2 questions11How do you ensure the security of the infrastructure you are responsible for?
Listen forAccess minimised, secrets managed properly and patching on a schedule rather than after an incident.
Secrets held in environment files or repositories, or patching driven entirely by incidents.
12How do you go about planning for disaster recovery?
Listen forA recovery plan that was exercised, with a date for the last test and what the test revealed.
Backups never restored as a test, or recovery targets that have never been measured.
How to score responses
Score every candidate on the same four criteria immediately after the screen. At this stage you are shortlisting for panel interviews, not making the final call.
Technical proficiency
35%5Names modules, Helm charts, and pipeline stages they authored, explaining state locking, secrets handling, and rollback mechanics without hedging.
Systems and trade-offs
25%5Weighs deployment and infrastructure options against cost, recovery time, and team size, and admits where a past choice aged badly.
Evidence and rigour
25%5Cites concrete numbers (deploy frequency, change failure rate, incident count) and links a fix to the metric that moved.
Collaboration and communication
15%5Describes enabling teams to ship safely themselves, with runbooks and platform docs others actually used, not gatekeeping.
Every DevOps resume lists the same platforms, and none of them say whether someone has been paged. A one-way video screen asks about the last incident.
Try it on HirevireScreening FAQ
Process basics
How long should a pre-screening round for a DevOps engineer take?
Fifteen minutes across eight to ten questions, answered async. Enough to establish what they ran in production, hear one outage they handled, and check whether their infrastructure is actually reproducible.
Should I screen for a specific cloud platform?
Only if you have a hard constraint. The concepts transfer and a competent engineer is productive on a new platform within weeks. Screening on platform narrows the pool far more than it raises the quality.
Evaluating answers
What is the strongest signal when screening a DevOps engineer?
Their last incident. Engineers who own systems describe what alerted, what they checked and what changed afterwards. Anyone who has never been on call has configured tooling rather than operated a system.
How do I judge infrastructure as code claims?
Ask whether they could rebuild the environment from scratch. Real answers describe what is in code and honestly name the parts that were still manual. Anyone who says everything is automated has not tried it.
























