Candidates describe Tech Mahindra's Software Engineer interviews as elimination-style screening: online tests, a communication round, then resume-driven technical and HR interviews centered on Java, OOP, SQL and basic coding.
$85K
Avg. Base Comp
$105K
Avg. Total Comp
2-5 rounds
Typical Rounds
Not reported
Process Length
Candidates describe Tech Mahindra's Software Engineer interviews as broad but mostly basic, with resume-driven technical questions at the center. Several people report an online assessment first, covering aptitude, reasoning, verbal ability and easy coding, sometimes with an English writing or psychometric section. Several also describe a separate communication round that checks listening, such as repeating a sentence you heard or filling in a missing word. A number of candidates call each stage an elimination round, so passing the early tests matters.
In the technical interview, candidates report being asked to explain projects, internships and their exact role in detail. Java and OOP fundamentals come up repeatedly: abstract class versus interface, inheritance, polymorphism, overloading versus overriding, and multithreading. SQL joins and aggregate functions are also mentioned, along with database tools such as MySQL or PostgreSQL when they appear on a resume. Reported coding tasks are small, such as a palindrome program, and one candidate says a coding question had to be written on paper.
The focus can shift with your background. One candidate with a machine learning project was asked about model performance metrics. Another was asked about Python and about willingness to learn Django. A third got QA concepts such as SDLC and STLC. HR conversations reportedly stay simple and casual, covering topics like relocation and family background.
A practical plan is to rehearse a two-minute explanation of each project on your resume. Review Java OOP and SQL basics, and practice easy coding problems out loud and on paper.
Synthesized from 72 candidate reports by our editorial team.
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Real interview reports from people who went through the Tech Mahindra process.
The campus placement process at Tech Mahindra was structured and multi-layered. It started with an aptitude round covering basic reasoning and verbal skills, followed by a communication assessment and a creative writing task where we had to write a story based on a given picture. Then came the coding round with two easy problems — nothing too complex, just enough to filter out those who couldn't code at all. After clearing that, we faced a behavioral round consisting of MCQs based on situational scenarios, which tested how we'd handle workplace conflicts and decisions.
The in-person interview in Hyderabad was where things got more serious. They asked about my background, previous projects, and then dived into core computer science fundamentals — OOPS concepts, Java and Python, and some front-end questions. We had to solve a coding problem on paper, which was straightforward (prime number and leap year checks), but the pressure of writing code by hand without an IDE was real. At the end, they confirmed my willingness to relocate anywhere in India and asked about comfort with rotational and night shifts. If you perform well here, you might get shortlisted for the Super Coder round, which is an additional challenge. The whole process felt thorough — they weren't just looking for coding ability but communication skills and cultural fit as well.
Prep tip from this candidate
Practice writing code on paper for simple algorithmic problems like prime checks and leap year logic — this removes the syntax safety net you get from an IDE. Also, be clear and direct about your willingness to relocate and work shifts; they explicitly ask this and it matters for their hiring decision.
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Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Tech Mahindra
Given an integer N, write a function that returns all of the prime numbers up to N
| Question | |
|---|---|
| Retailer Data Warehouse | |
| Employee Project Budgets | |
| Find the First Non-Repeating Character in a String | |
| Real-Time Transaction Streaming | |
| Groups of Anagrams | |
| Skyscanner Partner ETL | |
| Hurdles In Data Projects | |
| Dijkstra implementation | |
| Spam Classifier | |
| Word Frequency | |
| Tower of Hanoi | |
| Matrix Rotation | |
| Concurrent LLM Serving | |
| Implementing the Fibonacci Sequence in Three Different Methods | |
| Seller Type Modeling | |
| Cloud-Agnostic Deployments | |
| String Palindromes | |
| Digital Classroom System Design | |
| Impossibly Iterative Fibonacci | |
| Expansion Plan | |
| Text Editor With OOP | |
| Scalable Data Pipelines | |
| Open Source Reporting Pipeline | |
| Azure Kubernetes Infrastructure | |
| Client Solution Pushback | |
| Using APIs for Downstream Tasks | |
| 2nd Highest Salary | |
| Top Three Salaries | |
| Merge Sorted Lists |
Synthesized from candidate reports. Individual experiences may vary.
Candidates report an elimination-style online test that typically mixes quantitative aptitude, logical reasoning, verbal ability and basic coding or pseudocode. Some also mention an English writing section or a psychometric component. Reported difficulty is easy to medium, and timing can be tight, so practice timed aptitude sets.
Candidates report a small number of easy coding problems, such as a palindrome program in any language. One candidate says a question had to be written on paper. Interviewers may care about clean logic and a clear explanation as much as the final answer.
Several candidates describe a communication assessment that tests listening and speaking, for example repeating a sentence you heard or filling in a missing word. Reports differ on whether it eliminates candidates, so it is safest to treat it as part of the process and prepare for it.
Candidates report that this round is mostly resume-based. Expect to explain projects, internships and your own contribution in depth. Frequently mentioned topics include Java OOP, SQL joins and aggregates, and simple coding. Some interviewers follow resume-specific tools, such as Python, PostgreSQL or machine learning project metrics.
Candidates describe a simple, casual HR conversation covering introductions, family background and relocation. In some reports it is combined with the technical interview.
