MastercardSoftware Engineer II
Mastercard is hiring a Software Engineer II in Pune, India. Level rates it ; you can apply on Level.
AI in this role
Design, develop, and deliver secure, scalable software solutions and microservices as a Software Engineer II at Mastercard.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Software Engineer IIOverviewResponsible for analysing, designing, developing, testing, and delivering secure, scalable software solutions that meet business needs and Mastercard engineering standards. Drives innovation, quality, and operational excellence while collaborating across global teams.
Role
In this position, you will:
• Design and develop high-quality software solutions aligned with Mastercard standards and best practices.
• Own end-to-end SDLC activities, including requirements analysis, design, development, testing, deployment, and production support.
• Lead troubleshooting, root cause analysis, and resolution of production incidents.
• Participate in architecture discussions, technology evaluations, and Proof of Concepts (PoCs).
• Drive quality through code reviews, security reviews, testing, and engineering best practices.
• Mentor team members and promote technical knowledge sharing.
• Collaborate effectively with cross-functional and geographically distributed teams.
All About You
• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
• 3-5 years of experience in software engineering.
• Experience building secure, scalable, and resilient applications; Financial Services experience is preferred.
• Strong understanding of software engineering principles, SDLC, and Agile methodologies.
• Excellent analytical, problem-solving, communication, and collaboration skills.
• Self-motivated with the ability to work effectively in a fast-paced environment.
Key Skills & Technologies
• Backend: Java, Spring Boot, REST APIs, Microservices Architecture
• Frontend: React.js, JavaScript, TypeScript, HTML5, CSS3
• Frontend Testing: Jest, React Testing Library, Cypress
• Databases: Oracle, PostgreSQL, SQL Server, NoSQL Databases
• Cloud & DevOps: AWS/Azure, Docker, Kubernetes, CI/CD, Git, Maven/Gradle
• Testing & Quality: JUnit, Unit Testing, Integration Testing, Performance Testing, Test Automation
• Architecture & Security: System Design, API Design, Secure Coding, OWASP Principles
• Engineering Practices: Agile/Scrum, SDLC, Code Reviews, DevOps, Production Support
• Monitoring & Observability: Splunk, Dynatrace, ELK/OpenSearch, Application Performance Monitoring (APM)
• AI-Assisted Development: AI Coding Assistants and Agentic AI Tools for code generation, refactoring, code reviews, unit test creation, documentation generation, vulnerability remediation, and accelerated software delivery
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
How we rate this
Software Engineer II at Mastercard rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where microservices was part of your work. What did you do?
- Tell me about a project where rest apis was part of your work. What did you do?
- Tell me about a project where agile was part of your work. What did you do?
- Tell me about a project where ci cd was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Engineering, Microservices, Rest Apis, Agile, and Ci Cd. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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