Sigmoid Analytics | Interview Experience | Software Engineer 2 | Rejected
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SigmoidCareerCompensationInterview

Background

  • Experience: 3+ years
  • Current Role: Software Engineer 2 @ Unicorn Startup
  • Current CTC: 18 LPA Fixed + 10% Annual Bonus

Offer from Sigmoid Analytics:

  • Role: Software Engineer 2
  • CTC: 26 LPA

How I Got the Opportunity

The HR reached out to me on LinkedIn, but I believe she discovered my profile through Naukri.com.

During our initial conversation, she clearly mentioned that they were looking for someone with strong DSA (Data Structures & Algorithms) skills and that the interviews would focus heavily on problem-solving.

Interview Process – 3 Rounds

Round 1 – Technical + DSA

  • Started with project discussion – I explained my current work and contributions.
  • A few Java fundamentals questions to test my core knowledge.
  • DSA Questions:
    • Set Matrix Zero (classic problem)
    • Binary Search based question
  • Ended with a casual discussion on topics like AI and technology trends.

Round 2 – DSA + SQL + Project

  • Began with a deep dive into my project.
  • The interviewer wanted to understand the real-world use case, but I struggled to explain it clearly in a way that matched their expectations.
  • DSA Question: Variation of Next Greater Element problem.
  • SQL Queries: Writing different types of queries on joins and group by.

Round 3 – Technical Deep Dive (Late Night, 10 PM)

  • The interviewer mentioned that previous feedback suggested focusing more on project-related discussions.

  • Topics covered:

    • RabbitMQ – around 10-15 minutes of questions about my implementation and usage.
    • SQL questions – scenario-based queries and performance considerations.

  • Spring Boot core concepts – since Sigmoid uses Spring Boot extensively, the interviewer went deep into this.

    • Here, I was unable to answer a few core Spring Boot questions clearly, which I feel impacted the feedback.

Key Takeaways

  • Sigmoid places heavy emphasis on DSA, so be prepared for medium-hard coding questions like matrix manipulation, stack/array problems, and search variations.
  • SQL skills are a must – be comfortable with joins, grouping, sorting, and handling edge cases.
  • RabbitMQ and Spring Boot are critical since they are core to their tech stack.
  • Be ready to explain your projects in depth, including real-world impact and technical decisions.

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