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ExlSoftware Engineer
Updated May 14, 2026

Exl Software Engineer Interview Experiences 2026

Real, anonymous reports from people who interviewed for Software Engineer at Exl, newest first and distilled into what to expect across the loop.

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Hot & recentNewest first
4 months ago
Average Positive Noida

My process was fairly clean and professional: after an initial step that set expectations, I ended up in a technical round focused on how I approach problems, not just whether I could recite facts. The interviewer pushed me to explain my thinking as I worked through Python topics, and the scope included data pipelines and how to structure things around retrieval-style architecture.

As the conversation continued, we also shifted into system-level territory. I remember covering system design in a fairly direct way, including REST API implementation details, plus fundamentals across databases and deployment concerns. Along the way, I was asked about SQL and NoSQL choices, Python data types, and how a serverless-style API gateway and web server approach might be set up. The interview felt like it had real engineering context—clear questions, smooth flow, and a focus on whether my answers mapped to practical outcomes.
5 months ago
Average Negative Dublin, Dublin

I went through multiple stages that felt mismatched from the start. I first interviewed with a manager, and then I was asked to prepare a presentation on cloud architecture. I was expecting the conversation to stay grounded in the role I was interviewing for, but the questions that followed drifted into building LLM-focused work.

Honestly, it was the most unprofessional interview experience I’d had. The topics didn’t align well with what I understood about the job, and the whole flow left me feeling like the process wasn’t coordinated or thoughtfully targeted.

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What to expect

Distilled from the reports

Interview Structure & Timeline

The interview process typically begins with an HR call to set expectations, followed by a series of technical rounds that may include a mix of coding, system design, and managerial discussions. Candidates noted that the overall structure felt organized and the timeline was clearly communicated.

HR callTechnical roundsTimeline

Technical / Coding Screen

Candidates experienced a variety of technical assessments, including coding challenges that focused on problem-solving and real-time reasoning rather than rote memorization. The difficulty level varied, but many found the questions to be coherent and relevant to the role.

Coding challengesProblem-solvingTechnical assessment

Focus on Specific Technologies

Interviews often delved deeply into specific technologies relevant to the role, such as Power BI, Salesforce, and Python, with candidates expected to demonstrate practical knowledge and implementation details. This included discussions on data pipelines, system design, and recent updates in the tech stack.

Power BISalesforcePython

Behavioral & Values Assessment

Candidates reported that interviewers assessed not only technical skills but also behavioral aspects, such as communication style and problem-solving approach. The ability to articulate thought processes and engage in discussions was emphasized.

Behavioral questionsCommunicationProblem-solving

Variability in Interview Quality

Experiences varied significantly, with some candidates encountering unprofessional or mismatched interview formats that did not align with their backgrounds. Others felt the interviews were well-structured and relevant, highlighting a lack of consistency in evaluation.

Interview qualityConsistencyProfessionalism

Outcome Reflections

Many candidates left the interviews without offers, reflecting on the experience as constructive despite the outcome. Common takeaways included the importance of preparation and the need for alignment between the interview process and the candidate's experience.

Outcome reflectionsPreparationAlignment