Scale Engineer

Lead Developer

Software EngineerIHard

This interview process is for a Lead Developer position at BNY Mellon, focusing on assessing technical leadership, problem-solving skills, and experience in guiding development teams. The level is I, indicating a mid-to-senior level role.

Rounds·4

Timeline·~15d

Experience·5 - 10 yrs

Comp band·US$140000 - US$180000

Interview time·210 min

Evaluation

What they measure.

  • Technical proficiency in relevant programming languages and frameworks.
  • System design and architectural thinking.
  • Problem-solving and analytical abilities.
  • Leadership potential and team collaboration skills.
  • Communication and interpersonal skills.
  • Understanding of software development lifecycle and best practices.
  • Adaptability and learning agility.

Preparation

How to prepare.

Tips

  1. Thoroughly review your resume and be prepared to discuss every project and responsibility in detail.
  2. Brush up on core computer science concepts: data structures, algorithms, operating systems, and databases.
  3. Practice coding problems, focusing on efficiency and clarity.
  4. Prepare for system design questions, thinking about scalability, reliability, and trade-offs.
  5. Research BNY Mellon's business, values, and recent news to tailor your answers.
  6. Prepare specific examples using the STAR method (Situation, Task, Action, Result) for behavioral questions.
  7. Understand common leadership scenarios and how you would approach them.
  8. Be ready to discuss your experience with cloud technologies (AWS, Azure, GCP) and DevOps practices.
  9. Familiarize yourself with the specific technologies mentioned in the job description.
  10. Prepare thoughtful questions to ask the interviewer 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: Data Structures & Algorithms. Practice coding and complexity analysis.

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 primary programming language. Review Big O notation for time and space complexity analysis.

Questions

Commonly asked.

  • Describe a time you had to lead a team through a significant technical challenge. What was your approach, and what was the outcome?
  • How do you ensure the quality and maintainability of code produced by your team?
  • Walk me through the design of a scalable and resilient system you've worked on.
  • How do you handle disagreements within your team regarding technical direction?
  • Tell me about a time you had to mentor a junior developer. What was your strategy?
  • What are your strategies for managing technical debt while delivering new features?
  • How do you stay current with emerging technologies and encourage your team to do the same?
  • Describe a situation where you had to influence stakeholders to adopt a new technology or process.
  • What are your thoughts on microservices vs. monolithic architectures in the context of financial services?
  • How do you approach performance optimization in a distributed system?
  • Explain your experience with CI/CD pipelines and DevOps practices.
  • How do you foster a culture of innovation within your team?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

London

Interview focus

Leadership and team managementMentorship and guidanceUnderstanding of financial regulations (London)Adaptability to hybrid work models (New York)Technical debt managementCloud-native technologies (Dublin)

Common questions

  • How would you handle a conflict within your team regarding technical direction?
  • Describe a time you had to mentor a junior developer. What was your approach?
  • In our London office, there's a strong emphasis on regulatory compliance. How do you ensure your team's work adheres to financial regulations like MiFID II or GDPR?
  • What are your strategies for fostering a collaborative environment in a hybrid work setting, common in our New York hub?
  • How do you prioritize technical debt reduction while still delivering new features?
  • Discuss your experience with cloud-native architectures, particularly relevant for our teams leveraging AWS in our Dublin site.

Tips

  • Highlight instances where you've successfully led a team through complex projects.
  • Be prepared to discuss your mentoring philosophy and provide specific examples.
  • For London, research current financial regulations relevant to our business.
  • For New York, emphasize your experience with remote and hybrid team collaboration tools and strategies.
  • Showcase your ability to balance innovation with maintainability.
  • For Dublin, be ready to discuss your practical experience with AWS services and microservices architecture.

Rounds

Round-by-round.

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

DSA

Coding questions at BNY Mellon.

Frequently reported on BNY Mellon loops

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