Infosys DevOps Engineer Interview: Questions, Experience & Prep (2026)

Infosys is one of India's largest IT services companies, and DevOps roles there typically sit within its Engineering Services and Cloud Infra practices. With 62 open DevOps Engineer positions as of mid-2026, Infosys is one of the most active DevOps hirers in India right now. Across all companies, the market currently shows 811 DevOps Engineer openings in India, with Bangalore leading at 187 roles, followed by Delhi (40), Pune (37), Hyderabad (28), Chennai (13), and Mumbai (11).

Salary ranges across the DevOps market look like this:

The interview process at Infosys typically runs two to three rounds: an online technical assessment, followed by one or two technical interviews, and a final HR discussion. Candidates report that Infosys DevOps interviews focus heavily on CI/CD pipelines, containerisation, cloud platforms, and real incident experience. Preparation that combines tool knowledge with concrete project stories tends to work best.

Infosys DevOps interviews typically cover these areas across technical and behavioral rounds. Candidates report seeing variations of these questions frequently:

1. Walk me through a CI/CD pipeline you have built or maintained end to end.
2. How do you manage infrastructure as code, and which tools have you used (Terraform, Ansible, CloudFormation)?
3. Describe your container and Kubernetes experience. How did you handle pod scaling or node failures in production?
4. How do you manage secrets in a CI/CD pipeline? What is your approach to avoiding credential leaks?
5. What monitoring and alerting setup have you worked with? How do you decide what to alert on versus what to log?
6. How do you ensure zero-downtime deployments? Walk me through blue-green or canary strategies you have used.
7. Tell me about a time a deployment broke production. What happened, and what did you do?
8. How do you handle rollback in your current pipeline? What triggers an automatic rollback versus a manual one?
9. Infosys works heavily with AWS, Azure, and GCP. Which cloud platforms have you used, and how deep is your hands-on experience?
10. How do you work with developers to shift security checks earlier in the pipeline (DevSecOps)?
11. Describe how you would design a Kubernetes cluster for a microservices application from scratch.
12. How do you approach capacity planning and cost optimisation in a cloud environment?

These sample answers follow the STAR method (Situation, Task, Action, Result). Use them as a structure, then replace the details with your own real experience.

Q: Tell me about a time you improved a CI/CD pipeline.

*Situation:* My team's release process relied on manual steps and shell scripts. Deployments were inconsistent, and failed releases were common, sometimes blocking the team for hours at a stretch.

*Task:* I was asked to redesign the pipeline to reduce failures and speed up our release cadence.

*Action:* I introduced Jenkins with stage-based pipelines, added automated unit and integration test gates, and containerised the application using Docker. I also added a rollback stage that triggered automatically on any failed health check.

*Result:* Deployment failures dropped noticeably, and the team moved from fortnightly to weekly releases with much higher confidence. Developers started treating the pipeline as a safety net rather than a bottleneck.

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Q: Describe a time you handled a production incident as the on-call engineer.

*Situation:* Our application started returning intermittent errors for users during peak evening hours. Alerts fired across multiple dashboards simultaneously.

*Task:* As the on-call engineer, I was responsible for diagnosing and restoring service as quickly as possible.

*Action:* I started by checking recent deployments and config changes in our change log. I narrowed the issue to a misconfigured load balancer health check that was routing traffic to unhealthy instances. I updated the health check thresholds and restarted the affected service instances.

*Result:* Service stabilised within minutes. I wrote a detailed post-mortem and introduced a config review checklist that the team adopted before every infrastructure change going forward.

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Q: Tell me about a time you had to learn a new technology quickly on a project.

*Situation:* Our client decided mid-project to migrate workloads from on-premise servers to AWS. I had solid Linux and networking knowledge but limited hands-on AWS experience at the time.

*Task:* I was assigned to lead the migration planning and execution alongside a senior architect.

*Action:* I worked through AWS documentation and hands-on labs to get up to speed on EC2, S3, RDS, and VPC networking. I set up a parallel test environment and ran dry-run migrations for each service before touching production data.

*Result:* The migration completed on schedule with no data loss. The client extended our engagement to optimise costs on the new infrastructure, which became a strong portfolio project for my team.

Most Infosys interviewers ask a mix of technical and behavioral questions. Two frameworks worth practising:

STAR (for behavioral and scenario questions): Situation, Task, Action, Result. Keep each part brief. Infosys interviewers typically want to see that you owned the problem, took deliberate steps, and can reflect on the outcome.

CAB (for technical design questions): Context (what constraints exist), Approach (what you would do and why), Benefits and trade-offs (what you chose over alternatives). This works well for questions like 'How would you set up monitoring for a microservices application?'

Tips for DevOps-specific answers:

• Name the tools you actually used. Vague answers like 'I set up CI/CD' carry less weight than 'I used Jenkins with a declarative pipeline and SonarQube for static analysis.'
• Always connect your action to a business outcome. 'Deployments became more reliable' is stronger when you link it to the team shipping faster or the client seeing fewer outages.
• If you have not used something in production, say so honestly and describe how you have practised it in a lab or personal project. Infosys interviewers, candidates report, tend to prefer honesty over bluffing.

Infosys DevOps interviews, based on what candidates typically report, look for four things:

Hands-on tool depth: Can you actually configure a Jenkins pipeline, write a Terraform module, or debug a failing Kubernetes pod? Surface-level answers about tools you have only read about tend to get probed until they fall apart.

Incident experience: Have you been in an on-call rotation or handled a real production issue? If yes, walk them through what you did step by step. If no, talk about the closest thing you have, whether that is a staging environment failure or a personal project incident.

Process thinking: DevOps is as much about culture as tooling. Interviewers want to see that you think about repeatability, automation, and reducing manual toil, not just 'I know Kubernetes.'

Communication with developers: Infosys projects typically involve large cross-functional teams. Candidates who show they can explain a pipeline failure to a developer, or convince a team to adopt a new practice, stand out from purely technical candidates.

A focused preparation approach for the Infosys DevOps interview:

Week one: Core tools revision. Review your strongest tool stack in depth. If you have used Jenkins, Terraform, and AWS, revise the 'why' behind each choice you made, not just the 'how.' Read through a past project and prepare to describe every component clearly.

Week two: Scenario practice. Practise answering the common questions listed above out loud, or in writing. Infosys technical rounds are time-bound, and candidates who ramble on tool descriptions often run out of time before behavioral questions are covered.

Week three: Gap filling. If you are weak on Kubernetes, containers, or cloud networking, spend focused time on hands-on labs. AWS free tier and Minikube are useful for this. Focus on scenarios likely to come up in interviews, such as setting up a namespace, configuring an ingress, or debugging a CrashLoopBackOff.

Before the interview: Review Infosys's public cloud and DevOps practice areas. Read one or two recent case studies they have published. Even a passing reference to their work shows genuine interest. Prepare two or three strong project stories in STAR format. Have a copy of your resume open so you can reference specific projects naturally.

Claiming tool experience you cannot back up. Infosys interviewers probe deeply. If you list Kubernetes on your resume, expect questions about pod lifecycle, resource limits, liveness probes, and RBAC. Only list tools you can speak to in detail.

Giving vague incident stories. 'I fixed a production issue once' is not a useful answer. Name what broke, what signals you used to diagnose it, and what you did to fix and prevent recurrence. Specificity builds credibility.

Ignoring the behavioral round. Many candidates prepare heavily for technical questions and then stumble on 'Tell me about a conflict with a developer' or 'Describe a time your approach failed.' Prepare at least two behavioral stories covering common themes: conflict, failure, and learning something new.

Not asking questions at the end. Candidates who ask nothing signal low engagement. Prepare two or three questions about the team, the technology stack, or how DevOps practices are evolving within Infosys. These questions also give you useful information if you receive an offer.

Underselling small projects. You do not need a large enterprise deployment story. A well-described personal project or final year college project, explained with a clear problem, solution, and outcome, can be as compelling as any large project if your narrative is strong.