Software Engineer

Software EngineerLead Software EngineerHard

This interview process is designed to assess candidates for the Lead Software Engineer position at Persistent Systems. It evaluates technical expertise, problem-solving abilities, leadership potential, and cultural fit.

Rounds·4

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·210 min

Evaluation

What they measure.

  • Technical proficiency in core programming languages and frameworks.
  • Ability to design scalable and robust software solutions.
  • Problem-solving and analytical skills.
  • Leadership and team management capabilities.
  • Communication and interpersonal skills.
  • Cultural fit and alignment with company values.

Preparation

How to prepare.

Tips

  1. Thoroughly review your resume and be prepared to discuss all projects and experiences in detail.
  2. Brush up on data structures, algorithms, and system design principles.
  3. Understand common software engineering best practices, including SOLID principles, design patterns, and testing methodologies.
  4. Research Persistent Systems' products, services, and company culture.
  5. Prepare examples using the STAR method (Situation, Task, Action, Result) for behavioral questions.
  6. Practice explaining complex technical concepts clearly and concisely.
  7. Familiarize yourself with leadership and team management strategies.
  8. Be ready to discuss your career aspirations and how they align with this role.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures & Algorithms

Weeks 1-2: Data Structures & Algorithms (LeetCode Medium/Hard)

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice implementing these in your preferred language and analyze their time and space complexity. Solve LeetCode problems tagged 'Medium' and 'Hard'.

Questions

Commonly asked.

  • Describe a complex technical problem you solved and your approach.
  • How do you mentor and develop junior engineers?
  • What is your experience with cloud platforms and microservices?
  • How do you handle disagreements within a technical team?
  • Design a system for [specific problem, e.g., a real-time notification service].
  • Tell me about a time you failed and what you learned from it.
  • How do you stay updated with the latest technology trends?
  • What are your thoughts on code reviews and ensuring code quality?
  • Describe your experience with agile methodologies.
  • How do you balance technical debt with feature delivery?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote/Hybrid

Interview focus

Emphasis on distributed systems and cloud-native architectures.Assessment of experience with agile methodologies and CI/CD pipelines.Evaluation of communication and collaboration skills in a remote or hybrid setting.

Common questions

  • How do you handle technical debt in a large codebase?
  • Describe a time you mentored a junior engineer. What was the outcome?
  • What are your strategies for ensuring code quality and maintainability in a distributed team?
  • How do you approach performance optimization for a web application?
  • Tell me about a challenging cross-functional project you led.

Tips

  • Be prepared to discuss your experience with specific cloud platforms (AWS, Azure, GCP).
  • Highlight your contributions to improving team processes and productivity.
  • Showcase your ability to influence technical decisions and drive consensus.

Rounds

Round-by-round.

Expand a step for evaluation criteria, sample questions, and prep notes.

Hard

Data Structures And Algorithms Interview · 60 min · Senior Software Engineer / Technical Lead

This round focuses on assessing your fundamental programming skills and problem-solving abilities. You will be presented with coding challenges that require you to implement algorithms and data structures. The interviewer will evaluate your approach, code quality, and ability to explain your thought process and complexity analysis.

What they look for

Clean and efficient code.Logical and structured approach to problem-solving.Understanding of time and space complexity.Ability to communicate technical ideas effectively.

Evaluation

  • Problem-solving skills
  • Algorithmic thinking
  • Data structure knowledge
  • Coding proficiency
  • Ability to explain thought process

Sample questions

  • Given an array of integers, find the contiguous subarray with the largest sum.

    ArrayDynamic Programming
  • Implement a function to reverse a linked list.

    Linked ListPointers
  • Find the k-th smallest element in a binary search tree.

    TreeBinary Search TreeRecursion

Prep for this round

  1. 01Practice coding on a whiteboard or a shared editor.
  2. 02Focus on writing readable and maintainable code.
  3. 03Be prepared to discuss edge cases and optimize your solutions.
  4. 04Clearly articulate your approach before you start coding.

Common rejection reasons

  • ×Inability to articulate technical solutions clearly.
  • ×Lack of depth in understanding core computer science concepts.
  • ×Poor problem-solving approach.
  • ×Inability to handle follow-up questions on technical design.

DSA

Coding questions at persistent systems.

Frequently reported on persistent systems loops

Other guides

More at persistent systems.