Infosys DevOps Engineer interviews, as candidates describe them, are hands-on: Azure DevOps pipelines, Kubernetes, Linux troubleshooting, Ansible and Terraform, plus detailed walk-throughs of your own projects and deployment failures.
$122K
Avg. Base Comp
$144K
Avg. Total Comp
3 rounds
Typical Rounds
Not reported
Process Length
Candidates describe the Infosys DevOps Engineer interview as a conversation about tools you have actually run, not a definitions quiz. The accounts lean on practical scenarios and follow-ups. One candidate noted that knowing a command was not enough; the interviewers wanted the sequence of checks and the reasoning behind it.
The technical content varies by interviewer and team. One candidate was asked about Linux diagnostics, patching, Ansible and Terraform. Another got Kubernetes basics (pods versus deployments, ConfigMaps, Secrets, Services, Ingress), Azure Pipelines YAML and a Key Vault question about what happens after a secret changes. A third focused on Azure DevOps pipelines, Ansible for Linux and Windows, Terraform for VM provisioning, and Python and Selenium questions. A fourth was asked about the DevOps lifecycle, S3 bucket types, EC2 versus Elastic Beanstalk, and a small inline string-reversal coding task.
Project depth came up in more than one account. Two candidates were asked to defend resume projects, and one manager round went into deployment problems and how they were fixed. Prepare two or three projects you can walk through end to end, including what broke.
Two candidates accepted offers and two did not receive one. One candidate who did not receive an offer said the difficulty was in the follow-ups rather than the first question, so rehearse troubleshooting out loud: first symptom, checks, cause, fix. Writing pipeline YAML and Kubernetes manifests by hand is also worth practicing.
Synthesized from 4 candidate reports by our editorial team.
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Topics based on recent interview experiences.
Featured question at Infosys
Given two sorted lists, write a function to merge them into one sorted list.
| Question | |
|---|---|
| Find the Missing Number | |
| Normalize Grades | |
| Find Duplicate Numbers in a List | |
| Swap Variables | |
| Hurdles In Data Projects | |
| Concurrent LLM Serving | |
| Check Matching Parentheses | |
| Client Solution Pushback | |
| The Longest Journey | |
| String Palindromes | |
| Cloud-Agnostic Deployments | |
| Terraform Subscriptions | |
| Safe Deployments | |
| Pipeline Transformation Failures | |
| Text Editor With OOP | |
| Scalable Data Pipelines | |
| Azure Kubernetes Infrastructure | |
| Why Do You Want to Work With Us | |
| Your Strengths and Weaknesses | |
| Singly Linked List | |
| Prime to N | |
| Find Bigrams | |
| String Shift | |
| Find the First Non-Repeating Character in a String | |
| Scrambled Tickets | |
| Get Top N Frequent Words | |
| Minimum Change | |
| Good Grades and Favorite Colors | |
| Payment Data Pipeline |
Synthesized from candidate reports. Individual experiences may vary.
One candidate applied through Naukri and received a shortlist email about two weeks later. Another describes an HR screen as the first of their rounds. Expect early conversation about your background; timing and format may vary by team.
Candidates report technical rounds built on practical scenarios rather than syntax recall. Topics reported include Linux troubleshooting, patching, Ansible, Terraform, Azure Pipelines, Kubernetes basics and AWS services. One round ran close to an hour and was virtual. Interviewers pushed on follow-ups.
Candidates report being asked to explain past projects in detail and to defend tools listed on their resume. One manager round focused on deployment problems faced in a current role and how they were resolved. Have specific failure stories ready.
Two candidates who accepted offers describe a final HR or leadership stage that shifted toward communication, attitude and team fit rather than technical skills. This round typically comes after the technical and managerial conversations.
