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Interview Questions›DevOps Engineer

engineering · Experienced

DevOps Engineer Interview Questions India 2026

DevOps Engineer interview questions covering CI/CD, containerization, cloud infrastructure, and monitoring for Indian tech companies.

engineering role12 curated questionsUpdated 2026

DevOps Engineers Interview Questions

Placement-oriented · Updated 2026
  1. 01

    What is the difference between a Docker image and a Docker container?

    TechnicalEasy

    Tip: Image: read-only template with filesystem layers (like a class). Container: running instance of an image with its own writable layer (like an object). Multiple containers share the same image layers, saving disk space.

  2. 02

    What is CI/CD? Describe the stages of a typical pipeline.

    TechnicalEasy

    Tip: CI: automatically build + test on every commit. CD: automatically deploy to staging or production. Typical stages: source, build, unit test, integration test, security scan, staging deploy, smoke test, production deploy.

  3. 03

    What is Kubernetes? Explain pods, deployments, and services.

    TechnicalMedium

    Tip: Pod: smallest deployable unit, one or more co-located containers. Deployment: manages replica sets, handles rolling updates and rollbacks. Service: stable DNS name + load balancing across pods — because pod IPs are ephemeral.

  4. 04

    What is infrastructure-as-code (IaC)? Compare Terraform and AWS CloudFormation.

    TechnicalMedium

    Tip: IaC: manage infra via version-controlled config files. Terraform: cloud-agnostic, HCL language, state file management. CloudFormation: AWS-native, YAML/JSON, deeper AWS integration. Terraform is the industry standard for multi-cloud.

  5. 05

    What is a blue-green deployment? How does it reduce downtime?

    TechnicalMedium

    Tip: Two identical production environments (blue = live, green = new version). Deploy to green, run smoke tests, then switch the load balancer. Instant rollback by switching back to blue. Drawback: 2x infrastructure cost. Canary deployments are a cost-efficient alternative.

  6. 06

    What is Prometheus? What are metrics, labels, and a PromQL example?

    TechnicalHard

    Tip: Prometheus is a pull-based time-series monitoring system. Metrics: counters, gauges, histograms. Labels: key-value dimensions. Example: `rate(http_requests_total{status="500"}[5m])` — 500 error rate over 5 minutes. Pair with Grafana for dashboards.

  7. 07

    Tell me about a manual operational process you automated. What was the impact?

    BehavioralMedium

    Tip: Automation impact is most convincing when quantified: "reduced deploy time from 45 minutes to 8 minutes." Name the tool (Bash script, Ansible, Terraform, GitHub Actions) and what the automation eliminated.

  8. 08

    How do you respond to a production incident? Walk me through your process.

    SituationalMedium

    Tip: Alert fires, acknowledge, assess severity/blast radius, communicate status page update, mitigate (rollback or hotfix), resolve, post-mortem. Emphasise: communicate early even when uncertain, prioritise mitigation over root cause, write blameless post-mortems.

  9. 09

    A container is crashing every 10 minutes. How do you diagnose it?

    SituationalMedium

    Tip: Check `kubectl describe pod` for events, `kubectl logs --previous` for crash logs. Common causes: OOMKilled (increase memory limit), failed liveness probe (probe timeout too short), missing env var, application panic. Read the exit code — 137 = OOM kill.

  10. 10

    What is a Helm chart? How does it simplify Kubernetes deployment?

    TechnicalMedium

    Tip: Helm is the Kubernetes package manager. A chart is a templated collection of Kubernetes manifests with configurable values. `helm install` renders templates with values and applies them. Useful for versioned, repeatable deployments with environment-specific overrides.

  11. 11

    What is the difference between horizontal and vertical scaling?

    TechnicalEasy

    Tip: Vertical: bigger machine (more CPU/RAM). Simple but has hard limits and single point of failure. Horizontal: more machines. Stateless services scale horizontally easily; stateful services (databases) need careful sharding or managed services.

  12. 12

    Which cloud platform are you most experienced with? What services do you know best?

    HREasy

    Tip: Be specific: name 5-8 services you have actually used (EC2, RDS, Lambda, S3, CloudWatch, IAM, EKS). Mention a real project context. "I know AWS" without specifics is a red flag.

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