Software Engineer

Software EngineerGL27Medium to Hard

This interview process is for a Software Engineer position at Optum, specifically for the GL27 level. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the organization.

Rounds·3

Timeline·~10d

Experience·2 - 5 yrs

Comp band·US$110000 - US$140000

Interview time·150 min

Evaluation

What they measure.

  • Problem-solving approach
  • Algorithmic thinking
  • Data structure knowledge
  • Code clarity and efficiency
  • Debugging skills

Preparation

How to prepare.

Tips

  1. Review fundamental data structures and algorithms.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  3. Study common system design concepts and patterns.
  4. Prepare examples for behavioral questions using the STAR method.
  5. Research Optum's mission, values, and recent projects.
  6. Understand the technologies commonly used at Optum (e.g., Java, Python, cloud platforms).

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: Data Structures & Algorithms fundamentals. Practice coding.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash maps) and algorithms (sorting, searching, dynamic programming, recursion). Practice implementing these from scratch and analyze their time and space complexity.

Questions

Commonly asked.

  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a URL shortening service like bit.ly.
  • Tell me about a time you disagreed with a team member. How did you resolve it?
  • How would you design a system to handle millions of concurrent users for a social media platform?
  • Explain the difference between processes and threads.
  • Describe a situation where you had to meet a tight deadline. How did you manage your time?
  • What are the trade-offs between SQL and NoSQL databases?
  • How do you ensure the security of a web application?
  • What is your experience with cloud computing platforms?
  • Describe a complex technical problem you solved and your approach.

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

San Francisco, CA

Interview focus

System DesignProblem SolvingAPI DesignScalabilityCode Quality

Common questions

  • How would you design a system to handle real-time stock price updates for a global financial market?
  • Describe a challenging bug you encountered and how you debugged it.
  • Explain the principles of RESTful API design.
  • What are your thoughts on microservices vs. monolithic architectures?
  • How do you ensure code quality and maintainability in a large project?

Tips

  • Be prepared to discuss trade-offs in system design decisions.
  • Clearly articulate your thought process when solving problems.
  • Familiarize yourself with common design patterns.
  • Understand the implications of distributed systems.
  • Emphasize collaboration and communication skills.

Rounds

Round-by-round.

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

Med

Technical Screening (Coding) · 45 min · Software Engineer / Technical Screener

This initial technical screening round focuses on assessing fundamental programming skills. You will be asked to solve one or two coding problems, typically involving data structures and algorithms. The interviewer will evaluate your ability to understand the problem, devise an efficient solution, write clean and correct code, and explain your reasoning.

What they look for

Clear and logical approach to problem-solvingEfficient and correct code implementationUnderstanding of fundamental CS conceptsAbility to explain trade-offs

Evaluation

  • Problem-solving skills
  • Algorithmic knowledge
  • Data structure proficiency
  • Coding ability
  • Communication of thought process

Sample questions

  • Reverse a linked list.

    Linked ListAlgorithms
  • Find the two numbers in an array that add up to a specific target.

    ArraysHash MapsAlgorithms
  • Implement a binary search tree.

    TreesData Structures

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode (Easy/Medium difficulty).
  2. 02Review common data structures (arrays, linked lists, trees, hash maps) and algorithms (sorting, searching, dynamic programming).
  3. 03Focus on explaining your thought process clearly as you code.
  4. 04Be prepared to discuss the time and space complexity of your solutions.

Common rejection reasons

  • ×Inability to articulate thought process
  • ×Incorrect or inefficient algorithm
  • ×Poor coding practices
  • ×Lack of understanding of time/space complexity

DSA

Coding questions at Optum.

Frequently reported on Optum loops

Other guides

More at Optum.