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Technology & Engineering

DevOps Engineer Interview Questions

Builds and maintains CI/CD pipelines, automates infrastructure, and bridges development and operations.

1,000 questions10 chaptersAI feedback

Chapter 1 is free — 100 questions, no card required

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1.1DevOps philosophy - breaking down silos, shared ownership of deployment and reliability

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1.2The DevOps engineer role - what it covers, how it varies by company, and what is expected

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1.3DORA metrics - deployment frequency, lead time, MTTR, and change failure rate as performance indicators

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1.4DevOps maturity - assessing where an organisation is and what the next improvement looks like

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9 more chapters inside — unlock everything from $14.99/mo

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2.1Continuous integration - automated builds, test runs, and the feedback loop that keeps code quality high

2.2Continuous delivery and deployment - pipeline design, environment promotion, and release strategies

2.3Pipeline as code - version-controlling pipelines, reviewing changes, and treating them like software

2.4Testing in the pipeline - unit tests, integration tests, and security scans as pipeline gates

3.1IaC principles - declarative vs imperative, idempotency, and why it matters for repeatability

3.2Terraform - resource definitions, state management, modules, and working safely with shared infrastructure

3.3GitOps - managing infrastructure through pull requests and applying the same review process as code

3.4Configuration management - tools for managing server state and keeping environments consistent

4.1Docker - images, containers, Dockerfiles, networking, and managing containerised applications

4.2Kubernetes fundamentals - pods, deployments, services, and the control plane explained

4.3Kubernetes in production - resource limits, health checks, rolling updates, and managing cluster stability

4.4Helm and Kubernetes tooling - package management, release management, and cluster governance

5.1Cloud architecture principles - regions, availability zones, fault tolerance, and designing for resilience

5.2Compute, storage, and networking on cloud platforms - the services DevOps engineers work with most

5.3Cost management - understanding cloud bills, identifying waste, and implementing cost controls

5.4Multi-cloud and hybrid cloud - the trade-offs, the complexity, and when it is worth it

6.1The three pillars of observability - logs, metrics, and traces and how they work together

6.2Monitoring strategy - what to instrument, what thresholds to alert on, and avoiding alert fatigue

6.3Alert design - actionable alerts, on-call ergonomics, and building a system that pages when it should

6.4SLIs, SLOs, and error budgets - defining reliability targets and managing the trade-off with velocity

7.1DevSecOps - shifting security left and integrating security scanning into the pipeline

7.2Secrets management - how to handle credentials, API keys, and certificates without leaking them

7.3Infrastructure security - network policies, IAM, least privilege, and hardening cloud environments

7.4Compliance as code - automating compliance checks, audit trails, and evidence collection

8.1Incident response - detection, triage, communication, resolution, and the DevOps engineer role in each

8.2Post-mortem process - blameless culture, root cause analysis, and turning incidents into improvements

8.3Chaos engineering - controlled failure injection, game days, and building confidence in resilience

8.4Runbooks and operational documentation - how to document systems so anyone can operate them under pressure

9.1Networking fundamentals - TCP/IP, DNS, HTTP, load balancing, and what DevOps engineers must understand

9.2Linux systems - process management, file systems, networking tools, and debugging on the command line

9.3Service mesh - managing service-to-service communication and observability at scale

9.4Database operations - backup, restore, failover, and the DevOps role in database reliability

10.1Technical questions - CI/CD, IaC, Kubernetes, cloud architecture, and observability

10.2System design questions - designing a deployment pipeline or reliability solution under interview conditions

10.3Scenario questions - how you handled an outage, a security incident, or a failed deployment

10.4Salary negotiation, evaluating a DevOps culture, and questions that reveal the real state of engineering operations

About DevOps Engineer Interview Preparation

The DevOps Engineer role demands a strong mix of technical knowledge and communication skills. Interviewers typically test core domain expertise, problem-solving ability, and how you communicate your reasoning. CentricQ helps you prepare systematically — covering every topic area with 1,000 questions across 10 chapters. You can practice multiple-choice questions for quick recall, written-answer questions to develop in-depth responses, and spoken-answer questions to rehearse your verbal delivery. Every answer is evaluated by Claude AI, giving you a score, specific feedback, and study tips in real time. 100 questions are free (full Chapter 1) with no credit card required.

What you'll cover

  • 1DevOps Culture and Principles
  • 2CI/CD Pipelines
  • 3Infrastructure as Code

+ 7 more chapters inside

Frequently asked questions

What DevOps Engineer interview questions should I prepare for?

CentricQ covers 10 key areas for DevOps Engineer interviews: DevOps Culture and Principles, CI/CD Pipelines, Infrastructure as Code, Containerisation and Orchestration, Cloud Platforms and Architecture, Monitoring, Observability, and Alerting, Security and Compliance in DevOps, Incident Management and Reliability, Networking and Systems Fundamentals, Interview Preparation. Each area has 100 questions with AI-evaluated feedback.

How many DevOps Engineer interview questions are there?

CentricQ has 1,000 DevOps Engineer interview questions across 10 chapters, covering multiple choice, written answer, and spoken answer formats. 100 questions are free (full Chapter 1) with no credit card required.

How do I practice for a DevOps Engineer interview?

CentricQ offers 3 answer formats to simulate real interviews: multiple choice for quick knowledge checks, written answers for in-depth responses, and spoken answers to practise verbal delivery. Every answer is evaluated by Claude AI with a score and detailed feedback.