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.
Understanding of business requirements and how to translate them into technical solutions.
Ability to manage technical debt and make pragmatic trade-offs.
Proactiveness in identifying and addressing potential issues.
Demonstrated ownership and accountability for project outcomes.
Preparation
How to prepare.
Tips
01Review core computer science concepts: data structures, algorithms, complexity analysis.
02Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
03Study system design principles and common architectural patterns (e.g., microservices, RESTful APIs, caching, message queues).
04Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result). Think about examples that showcase leadership, problem-solving, teamwork, and handling challenges.
05Research Optum's mission, values, and recent projects, especially those related to healthcare technology.
06Understand the specific technologies mentioned in the job description and be ready to discuss your experience with them.
07Prepare 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.
02
Phase 02 of 04
System Design
Weeks 3-4: System Design principles and practice.
Weeks 3-4: Dive into System Design. Study concepts like scalability, availability, reliability, consistency, load balancing, caching strategies, database design (SQL vs. NoSQL), message queues, and API design. Review common system design interview questions and practice designing systems like Twitter feed, URL shortener, etc.
03
Phase 03 of 04
Behavioral and Company Fit
Week 5: Behavioral questions (STAR method) and company research.
Week 5: Prepare for Behavioral and Situational Questions. Reflect on past projects and experiences. Identify examples that demonstrate leadership, teamwork, conflict resolution, problem-solving, and adaptability. Practice articulating these using the STAR method. Research Optum's values and mission.
04
Phase 04 of 04
Mock Interviews and Final Preparation
Week 6: Mock interviews and final review.
Week 6: Mock Interviews and Review. Conduct mock interviews with peers or mentors covering both technical and behavioral aspects. Review weak areas identified during practice and mock interviews. Finalize questions to ask the interviewers.
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.
Location
On-site (e.g., Eden Prairie, MN)
Interview focus
Strong emphasis on core computer science fundamentals and data structures.Evaluation of problem-solving skills through coding challenges and algorithmic questions.Assessment of experience with large-scale systems and performance optimization.
Common questions
Describe a challenging technical problem you solved in a previous role and your approach.
How do you ensure the scalability and performance of the applications you build?
Tell me about a time you disagreed with a technical decision made by your team or manager. How did you handle it?
What are your thoughts on the current state of AI in healthcare and its potential impact on software development?
Tips
Practice coding problems on platforms like LeetCode, focusing on medium to hard difficulty.
Be ready to whiteboard solutions and explain your thought process clearly.
Prepare examples that demonstrate your ability to handle complex technical challenges and deliver high-quality code.
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
01Practice coding problems regularly, focusing on common patterns.
02Be prepared to discuss trade-offs between different data structures and algorithms.
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.
Hard
System Design Interview · 60 min · Senior Software Engineer / Architect
This round assesses your ability to design software systems at scale. You'll be given an open-ended problem (e.g., design a URL shortener, a social media feed, or a ride-sharing service) and expected to propose a high-level architecture. This includes defining components, data models, APIs, and considering aspects like scalability, reliability, and performance. You should be prepared to discuss trade-offs and justify your design choices.
What they look for
Ability to design complex, distributed systems.Understanding of system components and their interactions.Consideration of non-functional requirements (performance, scalability, availability).Pragmatic approach to problem-solving and trade-offs.
Evaluation
Scalability of the proposed design.
Reliability and fault tolerance.
Clarity and completeness of the design.
Understanding of trade-offs (e.g., consistency vs. availability).
Knowledge of relevant technologies and patterns.
Sample questions
Design a system like Twitter's news feed.
System DesignScalabilityDistributed Systems
Design a rate limiter for an API.
System DesignAPI DesignAlgorithms
How would you design a distributed cache?
System DesignCachingDistributed Systems
Design a system to count unique visitors to a website in real-time.
System DesignBig DataAlgorithms
Prep for this round
01Study common system design patterns and architectural styles.
02Practice designing various systems, focusing on breaking down the problem.
03Be ready to discuss databases, caching, load balancing, and message queues.
04Think about potential bottlenecks and failure points.
Common rejection reasons
×Inability to design a scalable and robust system.
×Lack of consideration for failure scenarios and trade-offs.
×Poor understanding of distributed systems concepts.
Behavioral Interview · 45 min · Hiring Manager / Senior Team Member
This round focuses on your past experiences, behavioral competencies, and how you align with Optum's culture. You'll be asked questions about your career, how you handle specific situations (e.g., conflict resolution, dealing with failure, managing priorities), and your motivations for joining Optum. Use the STAR method (Situation, Task, Action, Result) to provide structured and impactful answers.
What they look for
Evidence of leadership and initiative.Ability to work collaboratively.Problem-solving skills in real-world scenarios.Self-awareness and ability to learn from experiences.Alignment with Optum's mission and values.