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
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 EngineerAll About UsMasterCard is a technology company in the global payments business. We connect consumers, financial institutions, merchants, governments and businesses worldwide and enable them to use secure and convenient electronic forms of payment.
Join the industry’s most passionate, motivated & engaged global team - Our employees are encouraged to drive innovation every day in support of a more connected world – A World Beyond Cash.
Overview
Mastercard is seeking a highly skilled and motivated API Specialist to design, build, secure, and evolve enterprise-grade APIs that power critical business capabilities across Mastercard's ecosystem.
Role-The ideal candidate will have deep expertise in API architecture, API design, microservices, and cloud-native engineering, with hands-on development experience using Java, Spring Boot, and Python. The role will define API standards, create reusable platform capabilities, and deliver secure, resilient, scalable, and high-performing APIs on AWS.
The individual will collaborate with Product Managers, Solution Architects, Security teams, and Engineering teams to translate business needs into well-designed API products aligned with enterprise architecture and engineering standards.
Role & Responsibilities
• Define end-to-end API architecture and integration strategies for enterprise applications and platform services.
• Design secure, scalable, reusable, and consumer-focused APIs and microservices using API-first principles.
• Establish and govern API standards for resource modeling, error handling, pagination, versioning, compatibility, idempotency, and lifecycle management.
• Create and review OpenAPI/Swagger specifications that guide implementation, documentation, testing, and integration.
• Build cloud-native backend services that are resilient, highly available, observable, maintainable, and performant.
• Apply microservices, distributed-system, integration, and orchestration patterns to meet functional and non-functional requirements.
• Develop reusable frameworks, shared services, SDKs, and engineering accelerators that improve consistency and delivery efficiency.
• Partner with Product, Architecture, Security, and Engineering teams to translate business needs into compliant technical solutions.
• Contribute to design and code reviews, production issue resolution, root cause analysis, modernization, and continuous improvement.
• Influence API strategy, platform evolution, engineering standards, automation, and technology adoption across the organization.
Required Qualifications
Education & Experience
• Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related discipline.
• Proven software engineering experience focused on API development, integration, distributed systems, and enterprise applications.
• Demonstrated experience designing and implementing enterprise-scale APIs and microservices in Agile and DevOps environments.
Technical Skills / Must Have
• API architecture and design: REST, API-first delivery, resource modeling, OpenAPI/Swagger, governance, lifecycle management, versioning, backward compatibility, and end-to-end architecture across UI, API, services, data, and cloud layers.
• API quality and testing: Consumer-driven contract testing, API mocking, schema validation, automated compatibility checks, functional testing, and quality gates.
• Java and Spring Boot: Java, Spring Boot, Spring Web, Spring Security, validation, exception handling, dependency management, testing, and microservices development.
• Python: API and service development using common frameworks, with emphasis on modularity, security, testing, and maintainability.
• AWS: Hands-on experience with Lambda, ECS, API Gateway, EC2, S3, RDS, IAM, SNS/SQS, CloudWatch, and Secrets Manager.
• API security: OAuth 2.0, OpenID Connect, JWT, mTLS, API keys, role-based access control, input validation, rate limiting, throttling, and secret management.
• Distributed systems: Scalability, resilience, fault tolerance, timeouts, retries, circuit breakers, idempotency, caching, service discovery, and observability.
• Data and SQL: Oracle, PostgreSQL, SQL Server, or similar databases, including data modeling, query optimization, and performance tuning.
• DevOps and containers: Git, Jenkins or GitHub Actions, automated testing, static analysis, security scanning, deployment automation, Docker, and Kubernetes.
Preferred Qualifications / Good-to-Have Skills
• Infrastructure and messaging: Terraform, reusable infrastructure modules, Kafka, event streaming, asynchronous messaging, and event-driven integration patterns.
• API platforms: Apigee, Kong, MuleSoft, AWS API Gateway, or similar API management and gateway technologies.
• Specification-driven development: Specifications as the source of truth for design, contracts, code generation, documentation, testing, validation, and implementation.
• AI-assisted engineering: GitHub Copilot, Microsoft Copilot, Claude, Cursor, agent-based workflows, prompt/context design, automated quality checks, or AI/ML service integration.
• UI development: Working knowledge of React, JavaScript or TypeScript, HTML, and CSS to build or support lightweight API-consuming interfaces.
• Observability: Splunk, Dynatrace, Grafana, Prometheus, OpenTelemetry, or similar platforms.
• Industry experience: Payments, financial services, fintech, or another highly regulated industry.
Key Competencies
• Strong API architecture and design mindset.
• Excellent analytical, troubleshooting, and problem-solving skills.
• Strong ownership, accountability, and focus on business outcomes.
• Ability to influence technical direction and communicate complex decisions clearly.
• Effective collaboration and stakeholder-management skills.
• Commitment to security, reliability, engineering excellence, continuous learning, and innovation.
Success Measures
• Delivers secure, scalable, resilient, and reusable APIs and cloud-native services.
• Improves API consistency, governance, usability, performance, and developer experience.
• Drives adoption of API-first and cloud-native engineering practices.
• Creates reusable standards, frameworks, and accelerators that increase delivery efficiency.
• Contributes to the long-term API architecture and integration strategy.
• Demonstrates technical leadership, collaboration, ownership, and accountability.
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 30 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
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Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Claude hands-on?
- Walk me through how you've used Copilot in your day-to-day work.
- What are the limits of Cursor that you've run into, and how did you work around them?
Adapt your resume
- List these exact terms on your resume: Claude, Copilot, and Cursor. 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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