First hire · DevOps

How to hire your first DevOps engineer.

The first DevOps hire is about buying back engineering time. These ten questions surface whether the candidate has the operational scars to do it.

10 questions · rubric-backed · Built for small-team hiring panels
The rubric these map to
45%
Operational maturity
Real on-call scars. Incident retro discipline. Knows the cost of every choice.
15%
Experience relevance
Scale they've run. Tools they've debugged. Numbers, not buzzwords.
20%
Attitude & ownership
Postmortems, runbooks, systemic change — not blame.
10%
Communication clarity
Clear in incident comms. Calm under pressure.
10%
Culture fit
Behavior-based — especially around escalation + candor.

The questions.

  1. 01
    situational medium · oncall-culture

    Your team's on-call is burning people out. You own it. What do you change in the next month?

    Strong answer
    Reduces noise (alert hygiene). Measures toil. Redistributes load. Caps consecutive rotations. Doesn't just add more people.
    Weak answer
    'Hire more engineers.' Or 'make people tougher.'
  2. 02
    communication medium · exec

    Explain the cost of an on-call rotation to a non-technical CFO.

    Strong answer
    Concrete dollar math — engineer hourly × expected rotations × burnout attrition cost. Knows the true cost isn't 'the pager.'
    Weak answer
    'On-call costs money.' No concrete framing.
  3. 03
    technical medium · observability

    What's the first dashboard you'd build for a new service?

    Strong answer
    Golden signals — latency, traffic, errors, saturation. Per-endpoint where relevant. SLO framing.
    Weak answer
    CPU and memory. No user-facing metrics.
  4. 04
    culture medium · blame

    A junior engineer ran a query that took down prod for 15 minutes. How do you respond?

    Strong answer
    Blameless. Focuses on why it was possible (no safeguards, bad tooling). Fixes the system. Reassures the engineer. Doesn't shield them from the learning.
    Weak answer
    Either fires them or coddles them. Either way, system unchanged.
  5. 05
    technical hard · incident

    Describe the worst production incident you've been on-call for. Timeline, what you did, what you changed afterward.

    Strong answer
    Honest retrospective. Technical + human factors. Clear systemic change — runbook, process, or code. Names people specifically.
    Weak answer
    Vague. Blames 'the old team.' No systemic change.
  6. 06
    technical medium · iac

    Terraform vs Pulumi vs CDK — how would you pick?

    Strong answer
    Team language fluency, existing ecosystem, need for programmability, drift-detection. Not dogmatic.
    Weak answer
    'Terraform because it's standard.' Or 'Pulumi because code is better than HCL.'
  7. 07
    technical medium · security

    Walk me through how you'd set up secrets management for a team of 30 engineers.

    Strong answer
    No secrets in repo ever. Vault / AWS Secrets Manager / SOPS. Dev gets different secrets than prod. Rotation is automated. Audit trail.
    Weak answer
    '.env files we share on Slack.' Or 'engineers memorize prod creds.'
  8. 08
    technical medium · cicd

    Design a deploy pipeline for a service that handles payments.

    Strong answer
    Build → test (unit, integration, contract) → staging → canary with metrics-gated rollout → full deploy. Knows when to use feature flags vs deploys. Rollback is automatic.
    Weak answer
    Push-to-main-deploys-to-prod. No canary. No rollback strategy.
  9. 09
    experience baseline · resume-probe

    Your resume says you migrated from EC2 to Kubernetes. Team size, timeline, what broke?

    Strong answer
    Specifics. Something specific that broke (networking, secrets, state). Honest about why it took longer than planned.
    Weak answer
    Paraphrases the resume. Nothing broke.
  10. 10
    technical hard · kubernetes

    You have a K8s pod that's being OOMKilled intermittently. How do you diagnose without just bumping memory limits?

    Strong answer
    Checks actual memory usage pattern (profiler, metrics). Finds the root cause — leak, spike, burst. Considers JVM/runtime overhead. Sets requests/limits intentionally.
    Weak answer
    Bumps memory. Or 'add more replicas.'
Why stop at ten?

Lucida runs round one for you, and books the shortlist on your calendar.

Adaptive interviews tuned to the role, rubric-backed scoring, and a founder-ready briefing for every candidate who clears the bar. You do the human call.

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