Senior Software Engineer

Software EngineerGL28Hard

The Senior Software Engineer (GL28) interview process at Optum is designed to assess a candidate's technical expertise, problem-solving abilities, leadership potential, and cultural fit within the organization. It typically involves multiple rounds, including technical assessments, behavioral interviews, and a system design discussion.

Rounds·3

Timeline·~14d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·165 min

Evaluation

What they measure.

  • Technical Proficiency: Depth of knowledge in programming languages, data structures, algorithms, and software design principles.
  • Problem-Solving Skills: Ability to analyze complex problems, devise efficient solutions, and articulate the thought process.
  • System Design: Capacity to design scalable, reliable, and maintainable software systems.
  • Leadership & Mentorship: Potential to guide and mentor junior engineers, and influence technical direction.
  • Communication: Clarity and effectiveness in verbal and written communication.
  • Collaboration: Ability to work effectively within a team and contribute to a positive work environment.
  • Cultural Fit: Alignment with Optum's values and mission, particularly in the healthcare domain.

Preparation

How to prepare.

Tips

  1. Review core computer science concepts: data structures, algorithms, complexity analysis.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
  3. Study system design principles and common architectural patterns (e.g., microservices, RESTful APIs, caching, message queues).
  4. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result). Think about examples that showcase leadership, problem-solving, teamwork, and handling challenges.
  5. Research Optum's mission, values, and recent projects, especially those related to healthcare technology.
  6. Understand the specific technologies mentioned in the job description and be ready to discuss your experience with them.
  7. Prepare thoughtful questions to ask the interviewers about the role, team, and company culture.

Study plan

Fig · Study plan — 04 phases

01 / 04
01

Phase 01 of 04

Data Structures and Algorithms

Weeks 1-2: DSA fundamentals and practice (2-3 problems/day).

Weeks 1-2: Focus on Data Structures and Algorithms. Cover arrays, linked lists, trees, graphs, hash maps, heaps, sorting, searching, dynamic programming, and recursion. Practice implementing these and analyzing their time and space complexity. Aim for 2-3 medium/hard problems per day.

Questions

Commonly asked.

  • Describe a complex technical challenge you faced and how you overcame it.
  • How would you design a system for [specific problem, e.g., a real-time notification service]?
  • Tell me about a time you had to lead a project or a team. What was your approach?
  • How do you handle disagreements within a team regarding technical decisions?
  • What are your thoughts on microservices vs. monolithic architectures?
  • Explain the concept of eventual consistency.
  • How do you ensure the quality and testability of your code?
  • Describe a situation where you had to mentor a junior engineer.
  • What are your strengths and weaknesses as a software engineer?
  • Why are you interested in working at Optum?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

Remote/Hybrid

Interview focus

Emphasis on collaboration and communication skills, especially in remote or hybrid work environments.Assessment of experience with cloud-native architectures and microservices, given the prevalence of these in modern software development.Understanding of data privacy and security regulations (e.g., HIPAA) as they apply to healthcare data.

Common questions

  • How would you handle a situation where a junior engineer on your team is struggling with a complex task?
  • Describe a time you had to mentor a less experienced developer. What was your approach?
  • In a distributed team setting, how do you ensure effective communication and collaboration?
  • What are your strategies for staying updated with the latest technologies and industry trends relevant to our work in healthcare technology?

Tips

  • Highlight any experience working with distributed teams or in a remote setting.
  • Be prepared to discuss your understanding of cloud platforms (AWS, Azure, GCP) and their services.
  • Familiarize yourself with common healthcare data standards and regulations if applicable to the specific role.

Rounds

Round-by-round.

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

Hard

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

This round focuses on assessing your core technical skills. You will be presented with one or two coding problems that require you to implement algorithms and use appropriate data structures. The interviewer will evaluate your problem-solving approach, coding style, and ability to optimize for performance and efficiency. Expect to write code, potentially on a whiteboard or a shared online editor, and explain your reasoning throughout the process.

What they look for

Strong grasp of fundamental data structures and algorithms.Ability to translate a problem into a working code solution.Clear and logical thinking.Attention to detail and edge case handling.

Evaluation

  • Correctness of the solution.
  • Efficiency of the algorithm (time and space complexity).
  • Code quality, readability, and maintainability.
  • Ability to handle edge cases.
  • Communication of 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
  • Design and implement a data structure that supports insert, delete, search, and getRandom in O(1) average time.

    Hash TableArrayData Structures

Prep for this round

  1. 01Practice coding problems regularly, focusing on common patterns.
  2. 02Be prepared to discuss trade-offs between different data structures and algorithms.
  3. 03Practice explaining your thought process out loud as you solve problems.

Common rejection reasons

  • ×Inability to articulate thought process clearly.
  • ×Suboptimal algorithmic solutions.
  • ×Poorly structured or inefficient code.
  • ×Lack of understanding of time/space complexity.

DSA

Coding questions at Optum.

Frequently reported on Optum loops

Other guides

More at Optum.