Interview Questions for a Site Reliability Engineer
Interview a site reliability engineer by testing how they define SLOs and error budgets, build observability, lead incident response, and automate toil away. Probe Kubernetes operations, progressive delivery, and chaos testing with concrete examples. Strong candidates treat reliability as a design-time concern, reason in terms of error budgets, and run blameless post-mortems that produce real change.
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Run this as a deep technical and incident-focused conversation, not a leetcode round. Ask candidates to walk through SLOs they set and a real incident they led, and push on how they balanced reliability against feature velocity using error budgets. The strongest SREs automate toil, build meaningful observability, and partner with developers to make systems resilient before failures happen.
Technical & Role-Specific
What to look for: Picks user-facing SLIs (availability, latency percentiles), sets a realistic SLO, and explains how a burned error budget gates releases or shifts focus to reliability work.
What to look for: Adds RED/USE-style metrics, structured logs, and distributed tracing with tools like Prometheus, Grafana, and OpenTelemetry, and defines actionable alerts tied to SLOs, not noise.
What to look for: Establishes incident command, focuses on mitigation before root cause, communicates status clearly, and follows with a blameless post-mortem and tracked remediation items.
What to look for: Quantifies toil as repetitive, manual, automatable work, prioritizes by frequency and risk, and builds tooling, runbooks, or self-healing systems with measurable reduction.
What to look for: Describes canary or blue-green rollout, health and SLO-based promotion gates, automated rollback triggers, and metrics that decide whether to proceed.
What to look for: Covers resource requests/limits, autoscaling, pod disruption budgets, readiness/liveness probes, node capacity, and avoiding noisy-neighbor and cascading-failure issues.
Behavioral & Past Experience
What to look for: Calm, structured response under pressure, honest blameless analysis, and concrete systemic fixes rather than blaming a person or stopping at a hotfix.
What to look for: Specific reliability problem, the change made (redundancy, automation, better alerting), and a metric like reduced incidents, MTTR, or improved availability.
What to look for: Identifies noisy or manual sources, tunes alerts to be actionable, automates remediation, and shows the on-call experience genuinely improved.
What to look for: Uses error budgets and data to frame the trade-off, finds a path that respects both velocity and risk, and avoids being either a blocker or a pushover.
What to look for: Proactive capacity planning or load testing, spotting a trend early, and intervening before users were affected.
Situational & Problem-Solving
What to look for: Pauses risky releases, investigates the dominant failure mode, prioritizes reliability work, and communicates the trade-off with product owners using the budget as the lever.
What to look for: Uses traces and percentile metrics to localize, correlates with deploys/traffic/dependencies, looks for tail latency causes like GC, contention, or a slow downstream, and forms testable hypotheses.
What to look for: Defines a steady-state hypothesis, limits blast radius, injects a controlled failure (node, network, dependency), and verifies graceful degradation and alerting fire correctly.
What to look for: Load tests to find limits, plans autoscaling and capacity headroom, checks dependencies and rate limits, prepares rollback and feature flags, and sets up monitoring and an incident plan.
What to look for: Treats reliability as a design-time gate, partners on adding SLO-backed monitoring and rollback, and frames it as enabling speed safely rather than as a blocker.
Collaboration & Culture
What to look for: Embeds SLOs, observability, and runbooks into the development lifecycle, shares on-call or production ownership, and builds a blameless, learning culture.
What to look for: Focuses on systems and contributing factors over individuals, drives clear action items with owners, and follows up to ensure they're completed.
What to look for: Provides clear, regular status with impact and ETA, separates the technical channel from stakeholder updates, and avoids speculation while keeping people informed.
What to look for: Uses data and error budgets to set realistic targets, offers options and trade-offs, and partners on a path that balances cost, risk, and velocity.
Site Reliability Engineer interview scorecard
Score every candidate on the same criteria, immediately after the interview, using evidence you actually heard rather than an overall impression. Agree the criteria with the panel before the first interview — deciding what counts after you have met people is how the loudest interviewer wins the debrief.
| Criterion | Evidence to record | Score 1-5 |
|---|---|---|
| Technical & Role-Specific | What the candidate actually said or did, in their own example — not your impression of it | 1 2 3 4 5 |
| Behavioral & Past Experience | What the candidate actually said or did, in their own example — not your impression of it | 1 2 3 4 5 |
| Situational & Problem-Solving | What the candidate actually said or did, in their own example — not your impression of it | 1 2 3 4 5 |
| Collaboration & Culture | What the candidate actually said or did, in their own example — not your impression of it | 1 2 3 4 5 |
| Overall recommendation | Strong no / no / mixed / yes / strong yes, with the single reason that decided it | - |
Want this as a reusable document? Use the interview scorecard template.
Questions to avoid asking a Site Reliability Engineer
Exactly which questions are unlawful depends on where you are hiring, and the rules change — so treat this as the list of topics to route through your own employment counsel, not as a legal standard. The practical test that holds everywhere: if the answer could not change how the person does this job, you have no reason to ask it.
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Frequently asked questions
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