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REQUIREMENT_ID_1767 • 3-DAY_ACTIVE_POLICY

Software Engineer I - Java Backend

Company
Company Mastercard
Type
Opportunity Type Internship
Salary
Stipend / Salary 12 LPA - 15 LPA
Location
Location Pan India
Posted Date
Posted Date Today
Java Spring Boot OOP REST APIs CI/CD Git Docker Kubernetes Cloud (AWS/Azure/GCP) RDBMS NoSQL Event‑Driven Architecture Agile/Scrum Problem Solving
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Aptitude Practice Questions Open Resource ↗
Helps sharpen quantitative and logical reasoning skills essential for the online assessment stage.
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Technology Articles and Guides Open Resource ↗
Provides insights into Java, Spring Boot, and cloud concepts that are frequently covered in technical interviews.
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Software Engineer Interview Preparation Open Resource ↗
Offers role‑specific interview tips, sample questions and experiences shared by candidates who applied to Mastercard.
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Algorithm Problem Set Open Resource ↗
A curated collection of coding problems to practice data structures and algorithms for the coding assessment.

B.Tech/B.E/M.Tech in Computer Science, Information Technology, or related engineering discipline; minimum CGPA 6.5/10 (or equivalent); graduating batch 2024‑2026; no active backlogs at the time of joining; strong foundation in data structures, algorithms and object‑oriented programming; good communication skills in English.

1
Round 1: Online coding assessment (DSA and Java fundamentals)
2
Round 2: Technical interview (design, system architecture, coding)
3
Round 3: HR interview (fit, culture, compensation discussion)
Mastercard is a global technology leader in the payments ecosystem, operating in more than 200 countries and territories. The company’s mission is to connect and power an inclusive digital economy where transactions are safe, simple, smart and accessible. With a strong focus on innovation, Mastercard invests heavily in cloud‑native platforms, data security, and AI‑driven solutions that enable merchants, financial institutions, governments and consumers to thrive. Its culture is built around a high "Decency Quotient" (DQ) that emphasizes ethical behavior, collaboration, and a commitment to sustainable growth. The role of Software Engineer I – Java Backend sits within the Mastercard Payment Networks team, which designs and delivers the digital backbone that processes billions of transactions each year. As a junior engineer, you will be part of a fast‑moving, Scaled Agile environment that leverages cloud frameworks, continuous integration/continuous deployment (CI/CD) pipelines, and modern data persistence technologies. The position offers a unique opportunity to contribute to customer‑centric products while learning from seasoned architects and product owners. Key Responsibilities: 1. Write clean, maintainable Java code following best‑practice guidelines and coding standards. 2. Develop and enhance micro‑services using Spring Boot, adhering to RESTful API design principles. 3. Participate in CI/CD workflows, configuring pipelines on cloud platforms such as AWS, Azure or GCP. 4. Choose appropriate persistence mechanisms (RDBMS, NoSQL) based on functional requirements and performance considerations. 5. Conduct unit testing, integration testing and support automated test suites to ensure high code quality. 6. Contribute to proof‑of‑concept (PoC) initiatives that explore emerging technologies or architectural patterns. 7. Collaborate with cross‑functional teams—including product, security, and operations—to deliver end‑to‑end solutions. 8. Follow Agile ceremonies (stand‑ups, sprint planning, retrospectives) and actively participate in sprint deliveries. 9. Monitor production services, troubleshoot incidents, and propose improvements for reliability and scalability. 10. Document technical designs, APIs and deployment procedures for knowledge sharing. Tech Stack: Java 11+, Spring Boot, REST APIs, Maven/Gradle, Git, Docker, Kubernetes, CI/CD tools (Jenkins, GitHub Actions), Cloud services (AWS/Azure/GCP), RDBMS (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB), Event‑Driven Architecture (Kafka, RabbitMQ) and Agile tools (Jira, Confluence). Growth Path: Starting as a Software Engineer I, high performers can progress to Software Engineer II, Senior Engineer, and eventually to Lead Engineer or Architecture roles within 3‑5 years. Mastercard also offers rotational programs, mentorship, and access to internal learning platforms that accelerate technical and leadership development. Why Join Mastercard? You will work on mission‑critical payment systems that impact millions of users worldwide, gain exposure to cutting‑edge cloud‑native technologies, and be part of a culture that values ethical conduct, diversity, and continuous learning. The company’s strong brand, competitive compensation, and robust employee benefits make it an attractive launchpad for a long‑term technology career.

Mastercard — Data Analytics & SQL Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC 📖
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource ↗
COMPANY GUIDE 🎯
Mastercard Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for Mastercard and off-campus tech roles.

Open Resource ↗
MOCK TESTS & PAPERS 📝
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource ↗
CODING PRACTICE 💻
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource ↗
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Java, Spring Boot, OOP, REST APIs, CI/CD, Git, Docker, Kubernetes, Cloud (AWS/Azure/GCP), RDBMS, NoSQL, Event‑Driven Architecture, Agile/Scrum, Problem Solving) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
Mastercard Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between WHERE and HAVING clauses in SQL? Answer ▼
Model Answer: WHERE filters rows before any groupings are applied, while HAVING filters aggregated groups after GROUP BY has executed.
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer ▼
Model Answer: ROW_NUMBER() assigns unique sequential integers. RANK() assigns identical ranks to ties and skips ranks. DENSE_RANK() assigns identical ranks to ties without skipping rank numbers.
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer ▼
Model Answer: Use .isna().sum() to identify missing values. Impute with mean/median using .fillna() or remove with .dropna(subset=[...]) depending on variance impact.
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer ▼
Model Answer: Star Schema has denormalized dimension tables directly connected to the central Fact table. Snowflake Schema normalizes dimension tables into sub-dimensions to minimize redundancy.
How do you calculate MoM (Month-over-Month) growth in SQL? Answer ▼
Model Answer: Use LAG(revenue, 1) OVER (ORDER BY month) to fetch the previous month's revenue and compute (revenue - prev_revenue) / prev_revenue * 100.
Why do you want to join Mastercard as a Software Engineer I - Java Backend?
Preparation Tip: Highlight Mastercard's market reputation, recent tech innovations, and how your skills in Java directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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