Senior Software Engineer (Java Developer, Spring Boot)

Spring Boot - REST APIs, Spring Data JPA, Spring Security, Spring Cloud

Microservices Architecture - Design, development, deployment, and orchestration

Cloud Platforms - AWS / Azure / GCP (any exposure to cloud-native services preferred)

API Standards - OpenAPI / Swagger / JSON / YAML

Build & Deployment - Maven/Gradle, Jenkins, CI/CD pipelines

Quality & Automation - Unit Testing (JUnit/TestNG), Code Coverage (Jacoco/SonarQube), Integration Testing

Performance Optimization - Profiling, load testing, async processing, caching strategies

DevOps & Monitoring Tools - Docker, Kubernetes, ELK stack, Prometheus, Grafana

Responsibilities:
Design & Development:

Design, develop, and deploy high-performance, scalable Java-based microservices

Implement and maintain REST APIs following OpenAPI/Swagger standards

Follow API-first and Cloud-native design principles

Quality Engineering & Best Practices:

Analyze code review reports, ensure adherence to clean code principles and coding standards

Drive adoption of automated unit tests, integration tests, and contract tests

Measure and improve code coverage, performance benchmarks, and API reliability

Automation and Testing:

Develop and extend automation frameworks for both API and integration-level testing

Support BDD/TDD practices across development teams

Integrate testing pipelines into CI/CD workflows

Performance, Scalability & Monitoring:

Design for performance tuning, scalability, asynchronous processing, and fault tolerance

Contribute to setting up monitoring and alerting dashboards for production systems

Collaboration and Mentoring:

Work closely with DevOps, Product Owners, and QA teams for feature delivery

Mentor junior developers, conduct code walkthroughs, and lead design discussions

Participate in technical design reviews, architecture discussions, and production issue triaging

Preferred Experience:
5+ years of hands-on Java development experience

Deep understanding of Microservices design patterns, API Gateways, and service discovery

Exposure to Cloud deployment models like AWS ECS/EKS, Azure AKS, or GCP GKE

Proficiency with Git, Jenkins, SonarQube, and containerization (Docker/Kubernetes)

Experience working in Agile/Scrum teams

Exposure to Observability tools: ELK stack, Prometheus, Grafana (Preferred but not mandatory)

Good to Have:
Experience with API security standards (OAuth2, JWT)

Exposure to event-driven architecture using Kafka or RabbitMQ

Knowledge of Infrastructure as Code (IaC) tools like Terraform or CloudFormation

Familiarity with performance testing tools like JMeter, Gatling, etc.

Behavioral Traits:
Ownership-driven mindset with a passion for building scalable backend systems

Strong communication skills to coordinate across multi-functional teams

Ability to dive deep into technical problems and deliver solutions under tight deadlines

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.