DevOps and SRE loops blend systems-engineering depth (Linux internals, networking, distributed-systems failure modes), cloud platform fluency (AWS / GCP / Kubernetes), automation (Terraform, CI/CD), and live-incident response. Many companies include a 'debug a broken system' practical round where you SSH into a misbehaving box.
Linux & systems (45–60 min). Filesystem, processes, networking, disk/memory diagnostics. 'Server load is at 30, what do you check?'
Networking (45 min). TCP/UDP, TLS, DNS, load balancing, BGP basics. 'Packet leaves my laptop and arrives at S3 — narrate every hop and what could fail at each.'
System design — reliability (60 min). Design a deploy pipeline, an SLO/error-budget regime, or a multi-region failover. Less feature-design, more operational.
Incident / debugging round (45–60 min). Live: 'this service is returning 500s, here's a terminal'. Or recorded: 'walk me through your worst incident'.
Top DevOps / SRE Engineer technical questions
These are pulled from interview-debrief patterns we see most often across Engineering roles. They are not memorization fodder — interviewers reword them constantly. Practice the underlying skill, not the wording.
A web server has 30s p99 latency. Walk through your diagnosis from first principles.
Explain what happens between `curl https://api.example.com` and the response.
How does Kubernetes schedule a pod? Where does the decision live, and what can break it?
Design a deploy pipeline that supports canary, automatic rollback, and post-deploy verification.
Your SLO is 99.9% availability. How big is the monthly error budget? When do you halt deploys?
How would you debug a memory leak in a long-lived Go service in production?
What's the difference between a Kubernetes Service and an Ingress? When do you need both?
Explain the CAP-theorem trade-offs in etcd / Consul / ZooKeeper.
Design multi-region failover for a stateful service. What's hardest about state?
When would you choose statefulset over deployment? When would you avoid Kubernetes entirely?
Walk me through how you'd respond to a P1 page at 2am for a service you've never seen.
How do you do blue/green for a database schema change?
Behavioural questions
Walk me through the worst incident you've responded to. What was the root cause and what changed?
Tell me about a deploy that went wrong. Could you have prevented it?
Describe a time you pushed back on a deploy. How did the conversation go?
When have you intentionally designed for graceful degradation?
Preparation tips for DevOps / SRE Engineer candidates
**Have your incident-response narrative locked.** Detection → triage → communication → mitigation → root cause → followup. Use this skeleton for every behavioural answer.
**Memorize the Linux diagnosis loop.** top → htop → iostat → vmstat → ss → strace. Knowing exactly which tool answers which question is what separates senior SREs.
**Lead with SLOs and error budgets.** Modern SRE interviews grade heavily on how you frame reliability as a product trade-off, not as 'always up'.
**Practice live debugging.** Set up a deliberately broken Kubernetes pod or a misconfigured nginx config and time yourself.
Practice with the AI mock interviewer
Panor's AI Job Assistant runs voice-based mock interviews tuned to the DevOps / SRE Engineer role. It ad-libs follow-up questions, calls out red flags in your answers, and produces a transcript with rubric-graded feedback. Resume × JD matching is also included — paste a target job description and the assistant rewrites your bullets in STAR format with keyword alignment scoring.
Strong candidates with relevant experience generally need 4–6 weeks of focused prep for a competitive DevOps / SRE Engineer loop. Career switchers should plan on 8–12 weeks, weighted heavily toward the engineering fundamentals.
Do I need to grind LeetCode?
For most DevOps / SRE Engineer loops in 2026, depth on a curated set of 60–80 problems beats grinding 400. Focus on the patterns the questions above test, not problem volume.
Is the format the same at startups vs Big Tech?
No. Big Tech tends to over-index on coding and system design; startups put more weight on judgement, speed, and 'will this person carry the team'. Read the JD and ask the recruiter for the explicit loop structure — they will tell you.