Scale Engineer

Software Engineer

Software EngineerPL09Medium to Hard

This interview process is for a Software Engineer position at RBC, specifically at the PL09 level. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the organization.

Rounds·3

Timeline·~14d

Experience·4 - 7 yrs

Comp band·US$95000 - US$130000

Interview time·150 min

Evaluation

What they measure.

  • Technical Proficiency: Assesses depth of knowledge in programming languages, data structures, algorithms, and relevant frameworks.
  • Problem-Solving Skills: Evaluates the candidate's ability to break down complex problems, devise logical solutions, and articulate their thought process.
  • System Design: Gauges the candidate's understanding of architectural principles, scalability, reliability, and trade-offs in designing software systems.
  • Behavioral Competencies: Assesses soft skills such as communication, teamwork, leadership potential, adaptability, and conflict resolution.
  • Cultural Fit: Determines how well the candidate aligns with RBC's values, work ethic, and team dynamics.
  • Experience Relevance: Matches the candidate's past experience and accomplishments with the requirements of the role.

Preparation

How to prepare.

Tips

  1. Review fundamental computer science concepts: data structures, algorithms, operating systems, databases.
  2. Practice coding problems on platforms like LeetCode, HackerRank, or similar.
  3. Brush up on system design principles and common design patterns.
  4. Prepare to discuss your resume and past projects in detail, focusing on your contributions and learnings.
  5. Research RBC's mission, values, and recent news to understand the company's direction.
  6. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result).
  7. Understand the specific technologies and programming languages mentioned in the job description.
  8. Think about questions you want 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: Data Structures & Algorithms fundamentals. Practice coding.

Weeks 1-2: Focus on core data structures (arrays, linked lists, trees, graphs, hash tables) 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.

Questions

Commonly asked.

  • Describe a challenging project you worked on and how you overcame obstacles.
  • How do you approach debugging a complex issue?
  • Explain the difference between concurrency and parallelism.
  • What are the trade-offs when choosing between a monolithic and a microservices architecture?
  • Tell me about a time you disagreed with a team member and how you resolved it.
  • How do you ensure the quality and maintainability of your code?
  • Design a system to handle real-time notifications for a social media platform.
  • What are your thoughts on continuous integration and continuous deployment (CI/CD)?
  • How do you handle large datasets and optimize data processing?
  • What are your career goals for the next 3-5 years?

Locations

Regional differences.

Fig · Regions — 02 locations

01 / 02

Location

North America (USA & Canada)

Interview focus

Problem-solving and analytical skillsTechnical depth in relevant programming languages and frameworksSystem design and architecture capabilitiesBehavioral and situational judgmentCommunication and collaboration skillsUnderstanding of software development lifecycle and best practices

Common questions

  • Tell me about a time you had to deal with a difficult stakeholder.
  • Describe a complex technical problem you solved and your approach.
  • How do you stay updated with new technologies?
  • What are your thoughts on agile methodologies?
  • Can you explain the concept of microservices and their benefits?
  • How would you design a system for [specific problem, e.g., a URL shortener]?
  • What are the differences between SQL and NoSQL databases?
  • Describe your experience with cloud platforms like AWS, Azure, or GCP.
  • How do you approach code reviews?
  • What are your strengths and weaknesses as a software engineer?

Tips

  • Research RBC's technology stack and recent projects.
  • Prepare specific examples using the STAR method (Situation, Task, Action, Result) for behavioral questions.
  • Practice coding problems, focusing on data structures and algorithms.
  • Be ready to discuss your past projects in detail, highlighting your contributions and challenges.
  • Understand common system design patterns and trade-offs.
  • Showcase your ability to learn and adapt to new technologies.
  • Ask thoughtful questions about the team, projects, and company culture.

Rounds

Round-by-round.

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

DSA

Coding questions at RBC.

Frequently reported on RBC loops

View all at RBC

Other guides

More at RBC.