MastercardSenior Software Engineer
Mastercard is hiring a Senior Software Engineer in Pune, India. Level rates it ; you can apply on Level.
AI in this role
Design and develop Java-based backend services and distributed system solutions using Spring Boot.
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
Senior Software EngineerAbout MastercardMastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Mastercard Services Access program provides access to a wide range of Mastercard’s value-added services to customers such as Issuers, Processors, or Payment Entities ranging. We help our customers to optimize revenue and control risk across all portfolios and brands.
About the Role:
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-Design, develop, and maintain Java-based backend services using Spring Boot, Spring Integration, gRPC, and distributed system patterns.
-Translate business requirements and user stories into secure, efficient, and reusable software solutions.
-Contribute to technical design and architecture decisions that support performance, resiliency, maintainability, and system functionality.
-Create and maintain automated unit, functional, and integration tests to validate quality and interoperability.
-Analyze application performance, identify bottlenecks, and implement optimized solutions that meet service-level objectives.
-Apply secure coding practices and established engineering standards throughout the software development lifecycle.
-Conduct code reviews focused on quality, maintainability, and technical standards while mentoring junior team members.
-Troubleshoot complex issues across distributed systems, complete root-cause analysis, and implement lasting fixes.
-Support operational readiness through monitoring, observability, recoverability, and production support practices.
-Manage individual priorities, deadlines, user stories, and deliverables.
-Participate in Agile ceremonies, including daily stand-ups, story refinement, estimation, sprint planning, and retrospectives.
-Partner across Engineering, Architecture, Product Management, Testing, Release Management, and Application Support to deliver quality solutions.
About You:
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-Bachelor’s degree in Computer Science, Software Engineering, or a related technical field preferred.
- 5+ years of experience of Java platform engineering experience, strong expertise in Spring Boot, REST or gRPC, distributed systems, Apache Ignite/Hazelcast, Kubernetes, high-volume transaction processing, and designing resilient cloud-native service orchestration platforms. Experience in payments or financial transaction systems is highly preferred
-Proven ability to design, develop, test, and support enterprise-scale applications.
-Knowledge of software design principles, architectural patterns, domain-driven design, and non-functional requirements.
-Ability to interpret user stories and technical requirements and translate them into simple, scalable, and maintainable features.
-Advanced understanding of object-oriented programming, data structures, and algorithms.
-Experience creating automated unit, functional, and integration tests within continuous integration environments.
-Experience with messaging, event-driven architectures, and distributed communication technologies such as Apache Kafka or gRPC.
-Knowledge of cloud-native development using AWS, Pivotal Cloud Foundry, or similar platforms.
-Familiarity with automated build, deployment, and continuous integration systems.
-Experience with tools such as Jenkins, Bitbucket, Artifactory, GitHub, and the Atlassian suite.
-Ability to assess system performance and implement solutions that improve efficiency, scalability, and reliability.
-Strong troubleshooting and root-cause analysis skills across distributed applications.
-Understanding of secure coding, vulnerability prevention, and software security standards.
-Experience supporting production systems through monitoring, observability, recoverability, and operational readiness practices.
-Preferred experience using AI-assisted software development tools such as GitHub Copilot or Claude Code.
-Effective written and verbal communication skills with the ability to build collaborative cross-functional partnerships.
-Ability to work independently in complex environments while providing technical guidance through code reviews, mentorship, and knowledge sharing.
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
Senior Software Engineer 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
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where backend development was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where automated testing was part of your work. What did you do?
- Walk me through how you've used Claude in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Backend Development, Distributed Systems, Software Engineering, Automated Testing, and Claude. 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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