Principal Developer

Software EngineerLHard

The Principal Developer role at BNY Mellon is a senior individual contributor position responsible for designing, developing, and implementing complex software solutions. This role requires a deep understanding of software architecture, strong problem-solving skills, and the ability to mentor junior engineers. The interview process is rigorous and designed to assess technical expertise, leadership potential, and cultural fit.

Rounds·4

Timeline·~14d

Experience·8 - 15 yrs

Comp band·US$170000 - US$220000

Interview time·225 min

Evaluation

What they measure.

  • Technical depth and breadth in relevant technologies.
  • System design and architectural skills.
  • Problem-solving and analytical abilities.
  • Leadership and mentoring capabilities.
  • Communication and interpersonal skills.
  • Cultural fit and alignment with BNY Mellon's values.

Preparation

How to prepare.

Tips

  1. Thoroughly review your resume and be prepared to discuss every project in detail.
  2. Brush up on core computer science fundamentals: data structures, algorithms, operating systems, and databases.
  3. Practice system design problems, focusing on scalability, reliability, and performance.
  4. Understand BNY Mellon's business and its role in the financial industry.
  5. Prepare examples for behavioral questions using the STAR method (Situation, Task, Action, Result).
  6. Research common interview questions for Principal Developer roles at financial institutions.
  7. Be ready to discuss your leadership style and experience mentoring others.
  8. 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

Foundational Computer Science

Weeks 1-2: Data Structures, Algorithms, OS, Databases.

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. Review operating system concepts like processes, threads, memory management, and concurrency. Study database fundamentals, including SQL, NoSQL, indexing, and transaction management.

Questions

Commonly asked.

  • Design a system to handle real-time stock price updates for millions of users.
  • How would you design a distributed caching system for a large e-commerce platform?
  • Describe a challenging debugging scenario you encountered and how you resolved it.
  • What are the trade-offs between SQL and NoSQL databases for a financial transaction system?
  • How do you ensure data consistency in a microservices architecture?
  • Tell me about a time you had to lead a team through a major technical change.
  • What are your thoughts on the future of cloud computing in the financial industry?
  • How do you approach performance optimization for a latency-sensitive application?
  • Describe your experience with CI/CD pipelines and automated testing.
  • How do you mentor junior developers and foster their growth?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

New York

Interview focus

Deep dive into system design for financial services.Understanding of regulatory compliance in financial technology.Experience with large-scale distributed systems.Leadership and mentorship capabilities.

Common questions

  • Describe a time you had to influence a team to adopt a new technology. What was the outcome?
  • How do you approach designing a highly available and scalable system for financial transactions?
  • Tell me about a complex technical challenge you faced and how you overcame it.
  • What are your strategies for mentoring and developing junior engineers?
  • How do you stay updated with the latest trends in software development and financial technology?

Tips

  • Emphasize experience with financial regulations (e.g., SOX, GDPR).
  • Be prepared to discuss specific financial products or services you've worked with.
  • Highlight any experience with cloud platforms (AWS, Azure, GCP) in a regulated environment.
  • Showcase your ability to lead technical initiatives and mentor teams.

Rounds

Round-by-round.

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

Hard

Technical Interview (Coding) · 60 min · Senior Software Engineer / Tech Lead

This round focuses on assessing your core technical 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 write clean, efficient, and well-tested code, as well as your approach to problem-solving and your understanding of algorithmic complexity. Expect questions that test your knowledge of trees, graphs, dynamic programming, and string manipulation.

What they look for

Strong grasp of fundamental computer science principles.Ability to translate requirements into efficient code.Clear and logical thinking process.Attention to detail in coding and problem-solving.

Evaluation

  • Proficiency in data structures and algorithms.
  • Coding ability and clean code practices.
  • Problem-solving approach.
  • Understanding of time and space complexity.

Sample questions

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

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

    ArraysSortingAlgorithms
  • Write a program to detect cycles in a directed graph.

    GraphsAlgorithmsData Structures

Prep for this round

  1. 01Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert.
  2. 02Focus on understanding the underlying algorithms and data structures, not just memorizing solutions.
  3. 03Practice explaining your thought process out loud as you code.
  4. 04Be prepared to discuss edge cases and optimize your solutions.

Common rejection reasons

  • ×Lack of fundamental understanding in core CS concepts.
  • ×Inability to articulate thought process during problem-solving.
  • ×Poor performance in coding exercises.
  • ×Not demonstrating sufficient analytical skills.

DSA

Coding questions at BNY Mellon.

Frequently reported on BNY Mellon loops

Other guides

More at BNY Mellon.