Scale Engineer

Software Engineer I

Software EngineerL9Medium to Hard

This interview process is for a Software Engineer I (L9) position at Mastercard. It is designed to assess a candidate's technical skills, problem-solving abilities, and cultural fit within the company. The process typically involves multiple rounds, including HR screening, technical interviews focusing on data structures, algorithms, and system design, and a final managerial interview to evaluate leadership potential and team collaboration.

Rounds·4

Timeline·~14d

Experience·1 - 3 yrs

Comp band·US$90000 - US$120000

Interview time·195 min

Evaluation

What they measure.

  • Problem-solving skills
  • Technical proficiency (coding, algorithms, data structures)
  • System design and architecture understanding
  • Communication skills
  • Teamwork and collaboration
  • Cultural fit and alignment with Mastercard values
  • Learning agility and adaptability

Preparation

How to prepare.

Tips

  1. Thoroughly review fundamental computer science concepts, including data structures (arrays, linked lists, trees, graphs, hash tables) and algorithms (sorting, searching, dynamic programming, graph traversal).
  2. Practice coding problems on platforms like LeetCode, HackerRank, or AlgoExpert, focusing on medium to hard difficulty.
  3. Study system design principles, including scalability, reliability, availability, and common design patterns (e.g., load balancing, caching, database sharding).
  4. Prepare for behavioral questions using the STAR method (Situation, Task, Action, Result) to showcase your experiences effectively.
  5. Research Mastercard's products, services, recent news, and company culture to tailor your responses and demonstrate genuine interest.
  6. Understand the specific technologies and programming languages mentioned in the job description.
  7. Prepare thoughtful questions to ask the interviewers about the role, team, and company.

Study plan

Fig · Study plan — 05 phases

01 / 05
01

Phase 01 of 05

Data Structures and Algorithms Fundamentals

Weeks 1-2: Data Structures & Basic Algorithms. Implement and analyze common structures. Practice sorting and searching.

Weeks 1-2: Focus on core data structures (arrays, linked lists, stacks, queues, trees, graphs, hash maps) and their common operations. Practice implementing them from scratch and analyze their time and space complexity. Cover basic algorithms like sorting (quicksort, mergesort) and searching (binary search).

Questions

Commonly asked.

  • Write a function to reverse a linked list.
  • Given an array of integers, find the contiguous subarray with the largest sum.
  • Design a system to handle real-time stock price updates.
  • Tell me about a challenging project you worked on and how you overcame obstacles.
  • How would you design a URL shortening service like bit.ly?
  • Explain the difference between a process and a thread.
  • Describe a situation where you had to disagree with a team member or manager. How did you handle it?
  • What are the trade-offs between SQL and NoSQL databases?
  • How do you ensure code quality and maintainability?
  • What interests you about working at Mastercard?

Locations

Regional differences.

Fig · Regions — 03 locations

01 / 03

Location

New York

Interview focus

Adaptability to changing project scopesCommunication and stakeholder managementUnderstanding of local market challenges and opportunities

Common questions

  • Tell me about a time you had to deal with a difficult stakeholder.
  • How do you prioritize your work when faced with multiple urgent tasks?
  • Describe a project where you had to adapt to changing requirements.

Tips

  • Research Mastercard's presence and recent projects in this specific region.
  • Be prepared to discuss how your skills align with local business needs.
  • Highlight any experience working with diverse, international teams.

Rounds

Round-by-round.

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

DSA

Coding questions at Mastercard.

Frequently reported on Mastercard loops

View all at Mastercard

Other guides

More at Mastercard.