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REQUIREMENT_ID_238 β€’ 3-DAY_ACTIVE_POLICY

Software Engineer II (Software Engineer in Test)

Company
Company Mastercard
Type
Opportunity Type Full-Time Job
Salary
Stipend / Salary 12 LPA
Location
Location Pune, India
Posted Date
Posted Date Yesterday
Java Selenium WebDriver RESTful services JSON XML JUnit TestNG Spock Git Bitbucket Jenkins Bamboo SonarQube Linux shell scripting Agile Maven RESTAssured OkHttp In-Memory Grids Pivotal Gemfire Digital Native Architecture Cloud micro-services SQL Oracle DB payment simulation tools ISO 8583
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Aptitude and Reasoning Practice Open Resource β†—
Helps sharpen analytical and logical reasoning skills essential for coding and problem‑solving interviews.
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Mastercard Technical Resources Open Resource β†—
Provides insights into Mastercard’s technology stack and common interview topics for software engineers.
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Mastercard Interview Preparation Open Resource β†—
Offers practice questions and interview experiences specific to Mastercard roles.
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Coding Practice Problems Open Resource β†—
A collection of algorithmic challenges to improve coding proficiency for technical interviews.

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field. Minimum 60% or 6.5 CGPA. No backlogs. Candidates should be part of the 2025, 2026, or 2027 batch. Experience in software testing and development is preferred.

1
Round 1: Technical interview (coding + QA concepts)
2
Round 2: System design & behavioral interview
3
Round 3: HR interview
Mastercard is a global leader in digital payments, operating in over 200 countries and territories. The company empowers people and businesses to transact securely, simply, and smartly, driving a sustainable economy where everyone can prosper. With a strong focus on technology, innovation, and partnerships, Mastercard delivers a unique set of products and services that help consumers, merchants, issuers, and governments realize their greatest potential. The Software Engineer II (Software Engineer in Test) role is a key part of Mastercard’s Quality Engineering team. As a Quality Engineer, you will work closely with development teams to design, build, and maintain test automation frameworks, test infrastructure, and code analysis tools. Your responsibilities will include creating acceptance and integration automation tests, integrating with CI/CD pipelines, and ensuring high code coverage and quality across all product lines. You will also contribute to the continuous improvement of testing practices, help define quality metrics, and mentor junior engineers. Key responsibilities: 1. Design and develop robust test automation solutions using Java, Selenium WebDriver, and RESTful services. 2. Write unit tests with JUnit, TestNG, and Spock to validate application logic. 3. Integrate automated tests into CI/CD pipelines using Jenkins or Bamboo. 4. Perform static code analysis and maintain code coverage with SonarQube. 5. Collaborate with developers to embed quality into the development lifecycle. 6. Create and maintain test data and environments on Linux platforms. 7. Use shell scripting to automate test data preparation and cleanup. 8. Participate in Agile ceremonies and contribute to sprint planning and retrospectives. 9. Explore and adopt cloud-based testing tools and micro‑service testing strategies. 10. Mentor and guide junior QA engineers on best practices. Tech stack: Java, Selenium WebDriver, RESTful services, JSON, XML, JUnit, TestNG, Spock, Git/Bitbucket, Jenkins/Bamboo, SonarQube, Linux, shell scripting, Agile, Maven, RESTAssured, OkHttp, In‑Memory Grids (Pivotal Gemfire), Digital Native Architecture, Cloud, micro‑services, SQL (Oracle), payment simulation tools, ISO 8583. Growth path: Starting as a Software Engineer II, you can progress to Senior Software Engineer, Lead Software Engineer, or Technical Architect roles. Mastercard offers continuous learning, certifications, and opportunities to work on cross‑functional projects, enabling you to broaden your skill set and take on leadership responsibilities. Why join Mastercard? The company offers a dynamic, inclusive environment where innovation is encouraged. You’ll work on cutting‑edge payment technologies, collaborate with global teams, and have access to extensive learning resources. Mastercard’s commitment to employee well‑being, flexible work arrangements, and competitive compensation make it an attractive destination for aspiring software engineers.

Mastercard β€” QA & Automation Testing Interview Guide

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

APTITUDE & LOGIC πŸ“–
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 β†—
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 β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

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

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

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

Open Resource β†—
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, Selenium WebDriver, RESTful services, JSON, XML, JUnit, TestNG, Spock, Git, Bitbucket, Jenkins, Bamboo, SonarQube, Linux, shell scripting, Agile, Maven, RESTAssured, OkHttp, In-Memory Grids, Pivotal Gemfire, Digital Native Architecture, Cloud, micro-services, SQL, Oracle DB, payment simulation tools, ISO 8583) & 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 Implicit Wait, Explicit Wait, and Fluent Wait in Selenium? Answer β–Ό
Model Answer: Implicit Wait sets a global timeout for all element lookups. Explicit Wait pauses execution until a specific ExpectedCondition (e.g. elementToBeClickable) is met. Fluent Wait allows defining polling frequency and ignoring specific exceptions like NoSuchElementException.
Explain the Page Object Model (POM) and its advantages in Test Automation. Answer β–Ό
Model Answer: POM is a design pattern that creates an object repository for web UI elements. It separates test scripts from page locators, reducing code duplication and making maintenance easy when UI elements change.
How do you handle dynamic WebElements whose ID changes on page reload? Answer β–Ό
Model Answer: Use dynamic XPath methods like contains(), starts-with(), text(), or XPath axes (ancestor, following-sibling, parent) instead of brittle absolute paths.
What is the difference between @BeforeMethod and @BeforeClass in TestNG? Answer β–Ό
Model Answer: @BeforeClass runs once before the first test method in the current class, while @BeforeMethod executes before each individual test method.
How do you validate REST API response codes and JSON payload using Postman / RestAssured? Answer β–Ό
Model Answer: In RestAssured: given().when().get('/endpoint').then().assertThat().statusCode(200).body('status', equalTo('ACTIVE')).
Why do you want to join Mastercard as a Software Engineer II (Software Engineer in Test)?
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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