FactSet

Software Engineer

Software EngineerPrincipal Software EngineerHard

FactSet is seeking a Principal Software Engineer to join our dynamic team. This role involves designing, developing, and maintaining complex software systems, mentoring junior engineers, and contributing to architectural decisions. The ideal candidate will have a strong background in software development, excellent problem-solving skills, and a passion for building high-quality, scalable solutions.

Rounds

3

Timeline

~14 days

Experience

8 - 15 yrs

Salary Range

US$170000 - US$220000

Total Duration

165 min

Overall Evaluation Criteria

Technical Skills

Technical proficiency in core programming languages and paradigms.
Deep understanding of data structures, algorithms, and system design principles.
Ability to design, build, and maintain scalable and reliable software systems.
Strong problem-solving and analytical skills.
Experience with cloud computing platforms and distributed systems.
Proficiency in testing methodologies and ensuring code quality.

Leadership and Collaboration

Demonstrated leadership qualities and ability to mentor junior engineers.
Effective communication and interpersonal skills.
Ability to collaborate with cross-functional teams.
Experience in influencing technical decisions and driving consensus.
Proactive approach to identifying and solving problems.
Adaptability and willingness to learn new technologies.

Problem Solving and Strategic Thinking

Ability to think critically and analyze complex problems.
Creativity in developing innovative solutions.
Strategic thinking and long-term vision for software development.
Attention to detail and commitment to delivering high-quality work.
Resilience and ability to handle pressure and ambiguity.

Preparation Tips

1Review core computer science fundamentals, including data structures and algorithms.
2Brush up on system design principles and common architectural patterns.
3Prepare to discuss your past projects in detail, focusing on your contributions and technical challenges.
4Practice explaining complex technical concepts clearly and concisely.
5Research FactSet's products and services to understand our business context.
6Prepare questions to ask the interviewers about the role, team, and company culture.

Study Plan

1

Data Structures and Algorithms

Weeks 1-2: DSA fundamentals. Practice medium/hard problems (2-3/day).

Weeks 1-2: Focus on Data Structures and Algorithms. Review fundamental data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal). Practice solving problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty problems. Aim for at least 2-3 problems per day.

2

System Design

Weeks 3-4: System Design principles. Study patterns, read books, practice designs.

Weeks 3-4: Dive into System Design. Study common system design patterns (load balancing, caching, databases, message queues, microservices). Read resources like 'Designing Data-Intensive Applications' and practice designing scalable systems. Focus on trade-offs and justifications for design choices.

3

Behavioral and Leadership

Week 5: Behavioral prep. Use STAR method for leadership/problem-solving stories.

Week 5: Behavioral and Leadership Preparation. Reflect on your past experiences using the STAR method (Situation, Task, Action, Result). Prepare stories that highlight your leadership, problem-solving, collaboration, and mentoring skills. Consider common behavioral questions related to conflict resolution, failure, and success.

4

Company Research & Mock Interviews

Week 6: Research FactSet. Conduct mock interviews. Refine answers.

Week 6: Company Research and Mock Interviews. Research FactSet's mission, values, products, and recent news. Conduct mock interviews with peers or mentors to simulate the interview environment and get feedback on your technical and behavioral responses. Refine your answers and practice articulating your thoughts clearly.

Commonly Asked Questions

Describe a complex system you designed or significantly contributed to. What were the key challenges and how did you address them?
How would you design a system to handle millions of concurrent users?
Tell me about a time you had to mentor a junior engineer. What was your approach and what was the outcome?
What are your thoughts on microservices vs. monolithic architectures?
How do you ensure the security and reliability of the systems you build?
Describe a situation where you had to make a difficult technical trade-off. What was your reasoning?
How do you approach code reviews and ensure code quality across a team?
What are your strategies for managing technical debt?
Tell me about a time you failed. What did you learn from it?
How do you stay current with new technologies and industry trends?

Location-Based Differences

New York

Interview Focus

System Design and ArchitectureLeadership and MentorshipProblem-Solving at ScaleTechnical Strategy and Vision

Common Questions

Describe a challenging technical problem you solved at scale.

How do you approach designing a distributed system for high availability?

Tell me about a time you had to influence a team to adopt a new technology or approach.

What are your strategies for mentoring and developing junior engineers?

How do you handle technical debt and ensure code quality in a large codebase?

Tips

Be prepared to discuss your experience with large-scale systems and distributed architectures.
Highlight instances where you've led technical initiatives or mentored teams.
Demonstrate a deep understanding of software development best practices and design patterns.
Articulate your thought process clearly when discussing complex technical challenges.

London

Interview Focus

Technical Depth and BreadthCollaboration and InfluencePerformance OptimizationCloud Technologies

Common Questions

How do you ensure the performance and scalability of your applications?

Discuss a time you disagreed with a technical decision and how you handled it.

What is your experience with cloud-native technologies and microservices?

How do you balance innovation with maintaining existing systems?

Describe your approach to code reviews and ensuring code quality.

Tips

Emphasize your experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
Provide specific examples of how you've improved system performance or scalability.
Showcase your ability to work effectively in a team and influence technical direction.
Be ready to discuss your understanding of modern software development methodologies.

San Francisco

Interview Focus

Problem Solving and DebuggingArchitectural VisionContinuous LearningProject Management

Common Questions

How do you approach debugging complex issues in production?

Tell me about a project where you had to make significant architectural changes.

What are your thoughts on the future of software development and emerging technologies?

How do you stay up-to-date with the latest industry trends?

Describe a situation where you had to manage competing priorities.

Tips

Prepare to discuss your debugging strategies and how you handle production incidents.
Share your insights on future technology trends and how they might impact software development.
Demonstrate your ability to manage projects and prioritize tasks effectively.
Showcase your commitment to continuous learning and professional development.

Process Timeline

1
Technical Coding Round60m
2
System Design Round60m
3
Managerial Round45m

Interview Rounds

3-step process with detailed breakdown for each round

1

Technical Coding Round

Assess fundamental CS knowledge and coding ability through algorithmic problems.

Data Structures And Algorithms InterviewHard
60 minSenior Software Engineer / Staff Engineer

This round focuses on your fundamental computer science knowledge and your ability to translate problems into efficient code. You will be asked to solve one or two algorithmic problems, often involving data structures like arrays, linked lists, trees, graphs, or hash maps. The interviewer will assess your approach to problem-solving, your coding style, and your ability to analyze the time and space complexity of your solutions. Expect to write code in a shared editor or on a whiteboard.

What Interviewers Look For

Strong analytical and problem-solving skills.Proficiency in coding and implementing solutions efficiently.Clear communication of thought process.Understanding of time and space complexity.

Evaluation Criteria

Problem-solving approach
Algorithmic thinking
Data structure knowledge
Coding proficiency
Ability to explain solutions

Questions Asked

Given a binary tree, find the lowest common ancestor of two given nodes.

TreeRecursionBinary Tree

Implement a function to find the k-th largest element in an unsorted array.

ArraySortingQuickselect

Design a data structure that supports insert, delete, search, and getRandom in O(1) average time.

Hash TableArrayData Structures

Preparation Tips

1Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
2Focus on understanding the underlying data structures and algorithms.
3Practice explaining your thought process out loud as you solve problems.
4Be prepared to discuss trade-offs between different approaches.

Common Reasons for Rejection

Lack of depth in core technical areas.
Inability to articulate thought process clearly.
Poor understanding of system design principles.
Difficulty in handling ambiguity or complex problems.
Lack of leadership or mentoring experience.
2

System Design Round

Assess ability to design scalable and robust software systems.

System Design InterviewHard
60 minStaff Engineer / Principal Engineer

This round evaluates your ability to design and architect complex software systems. You'll be presented with a high-level problem (e.g., design a URL shortener, a social media feed, or a distributed cache) and asked to propose a solution. The interviewer will probe your design choices, focusing on scalability, reliability, performance, and trade-offs. Be prepared to discuss various components, databases, caching strategies, and communication protocols.

What Interviewers Look For

Ability to design complex, scalable, and reliable systems.Deep understanding of distributed systems concepts (e.g., consistency, availability, partitioning).Proficiency in choosing appropriate technologies and architectural patterns.Ability to articulate design decisions and justify trade-offs.Consideration of non-functional requirements (e.g., security, maintainability).

Evaluation Criteria

System design principles
Scalability and performance considerations
Trade-off analysis
Understanding of distributed systems
Clarity of communication

Questions Asked

Design a system like Twitter's news feed.

System DesignScalabilityDistributed SystemsDatabases

How would you design a rate limiter for an API?

System DesignAPIsConcurrencyAlgorithms

Design a distributed key-value store.

System DesignDistributed SystemsDatabasesConsistency

Preparation Tips

1Study system design concepts and common architectural patterns.
2Read books like 'Designing Data-Intensive Applications' and 'System Design Interview – An insider's guide'.
3Practice designing various systems and articulating your thought process.
4Be prepared to discuss trade-offs between different design choices.
5Consider non-functional requirements like scalability, availability, and latency.

Common Reasons for Rejection

Inability to design scalable and robust systems.
Poor understanding of distributed systems concepts.
Lack of clarity in explaining design choices and trade-offs.
Failure to consider edge cases and failure scenarios.
Not demonstrating leadership or architectural vision.
3

Managerial Round

Assess behavioral aspects, leadership, and cultural fit.

Behavioral And Managerial InterviewMedium
45 minHiring Manager / Director of Engineering

This round focuses on your behavioral aspects, leadership potential, and cultural fit. The interviewer will ask questions about your past experiences, focusing on how you've handled various situations, such as leading projects, resolving conflicts, working with difficult team members, and dealing with failure. They will also assess your motivation for joining FactSet and your understanding of the role.

What Interviewers Look For

Evidence of leadership and ability to influence others.Strong communication and interpersonal skills.Ability to work effectively in a team environment.Alignment with FactSet's values and culture.Proactive approach to challenges and learning.

Evaluation Criteria

Leadership potential
Teamwork and collaboration
Communication skills
Problem-solving approach
Cultural fit

Questions Asked

Tell me about a time you had to lead a team through a challenging project.

LeadershipTeamworkProject ManagementBehavioral

Describe a situation where you disagreed with a colleague or manager. How did you handle it?

Conflict ResolutionCommunicationBehavioral

How do you prioritize your work when faced with multiple competing demands?

Time ManagementPrioritizationBehavioral

What motivates you to do your best work?

MotivationBehavioral

Preparation Tips

1Prepare specific examples using the STAR method (Situation, Task, Action, Result).
2Reflect on your leadership experiences and how you've mentored others.
3Think about situations where you've demonstrated teamwork, communication, and problem-solving skills.
4Research FactSet's values and culture and be prepared to discuss how you align with them.
5Prepare thoughtful questions to ask the interviewer.

Common Reasons for Rejection

Lack of leadership or mentorship experience.
Poor communication or interpersonal skills.
Inability to handle conflict or difficult situations.
Not demonstrating alignment with company values.
Lack of strategic thinking or business acumen.

Commonly Asked DSA Questions

Frequently asked coding questions at FactSet

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