Why pre-screen DevOps engineers before the technical interview
Describing a pipeline takes two minutes. Keeping one healthy across a year of changing services, flaky tests and a rollback at eleven at night is the actual job. Engineers worth hiring have owned that and can describe a deployment that went wrong and how they recovered. A short screen asks for it, which separates operators from people who followed a setup guide.
What actually matters when screening DevOps Engineer candidates
- 01
Technical proficiency
Check hands-on command of Terraform or Pulumi, Kubernetes primitives, and CI runners (GitHub Actions, GitLab, ArgoCD); ask what they wrote versus inherited from a platform team.
- 02
Systems and trade-offs
Probe architecture calls: blue/green versus canary, managed RDS versus self-hosted, multi-AZ cost versus availability, and where they deliberately accepted toil or lock-in.
- 03
Evidence and rigour
Test measurement habits: SLOs and error budgets, p99 latency, DORA metrics, Prometheus alert tuning, and a postmortem they wrote after a production incident.
- 04
Collaboration and communication
Assess remote working evidence: async handovers across time zones, runbooks developers actually use, on-call rotation etiquette, and pushing back on unsafe release requests.
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.
Pipelines they maintained
3 questions01Describe your experience with continuous integration and deployment.
Listen forPipelines they built and maintained, with build times and failure rates known from experience.
Pipelines inherited and not understood, or build failures treated as noise to be rerun.
02Can you explain how you have used infrastructure as code?
Listen forEnvironments defined in code and rebuilt from it, with state and secrets handled deliberately.
Infrastructure changed by hand after provisioning, or code that no longer matches reality.
03How have you used automation to improve processes in previous roles?
Listen forA manual process removed entirely, with the time saved and the risk it eliminated described.
Automation described as scripting one-off tasks, or improvements never measured.
Infrastructure in code
4 questions04What is your experience with cloud platforms?
Listen forReal operational experience with cost and access management as well as provisioning services.
Cloud experience limited to launching instances, or costs never their concern.
05How familiar are you with containers and microservices, and which tools have you used?
Listen forContainer orchestration operated in production, with resource limits and failure behaviour understood.
Containers used only locally, or orchestration described without operating a cluster.
06What is your experience with configuration management tooling?
Listen forConfiguration applied consistently and repeatably, with drift detected automatically rather than discovered later.
Configuration applied once at build, or servers that have diverged without anyone noticing.
07Which scripting languages are you strongest in, and how have you used them?
Listen forWorking fluency with scripts that handle errors and are readable by the rest of the team.
Scripts that only work on their machine, or no error handling in automation that runs unattended.
Handled an incident
3 questions08How would you handle a significant failure in a live production environment?
Listen forService restored first with communication running throughout, and a blameless review held afterwards.
Root cause pursued before restoring service, or incidents that end without a follow-up.
09How would you handle a deployment that fails?
Listen forAutomatic rollback available and tested, with the failure detected by monitoring not by users.
Rollback described as redeploying the previous version manually, or failures reported by customers.
10What tools have you used for monitoring and logging?
Listen forAlerting tied to user impact, with noisy alerts actively removed rather than ignored.
Alerts that everyone mutes, or monitoring limited to infrastructure metrics.
Security in the pipeline
2 questions11How do you ensure secure practices in a delivery pipeline?
Listen forDependency scanning and secret management built into the pipeline rather than done separately.
Secrets stored in repositories or environment files, or security checks run only before release.
12Can you describe a time when you had to balance speed against quality?
Listen forA deliberate decision with the risk stated and the shortcut tracked for later repair.
Shortcuts taken without record, or quality described as always winning regardless of context.
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, explains state locking, drift and rollout strategies without hedging.
Systems and trade-offs
25%5Compares options with cost, blast radius and on-call burden attached, and cites a trade-off they later reversed with reasons.
Evidence and rigour
25%5Quotes before and after numbers (deploy frequency, MTTR, cloud spend) and describes alert noise reduction backed by real dashboards.
Collaboration and communication
15%5Shows written runbooks or RFCs, describes coaching developers to self-serve deploys, and handles disagreement with product without escalation drama.
Describing a pipeline takes two minutes; keeping one green takes a year. A one-way video screen asks what broke.
Try it on HirevireScreening FAQ
Process basics
How long should a pre-screening round for this role take?
Fifteen minutes across eight to ten questions, answered async. Enough to establish what they built and maintained, test their infrastructure practice, and hear how they handle incidents.
What should I check for a remote role specifically?
How they handle incidents across time zones, including handover and documentation. Remote incident response depends entirely on written communication that somebody else can pick up.
Evaluating answers
What is the strongest signal when screening this role?
A deployment that went wrong. Engineers who own production describe the detection, the rollback and the change made afterwards. Anyone whose deployments always succeeded has not shipped often.
How do I judge their infrastructure practice?
Ask whether they could rebuild an environment from scratch. Real answers describe code and state management. Anyone who would need to remember manual steps has configuration nobody can reproduce.
Go deeper on this role
Sanat has been hiring since 2012 and watching the recruitment industry change up close ever since, and turned that screening process into Hirevire's video screening platform. LinkedIn
