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Mastercard

Processes payments across a global network

Lead Software Engineer - Java Full Stack Developer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Information Technology, Computer Science, Engineering, or a related discipline is required.
  • Around 9 years of work experience in a software engineering role.
  • Strong verbal and written communication skills and the ability to collaborate across organizational levels.
  • Strong proficiency in Java 17+, Spring Boot, Spring Framework, Hibernate, and modern database technologies including Oracle, SQL Server, PostgreSQL, Redis, MongoDB, and Elasticsearch.
  • Experience designing, developing, and leading applications built on microservices-based architectures.
  • Hands-on experience with messaging and event-driven platforms such as Kafka, RabbitMQ, AWS SQS, or other cloud-native messaging solutions.
  • Front-end development experience using React JS (16+) or Angular (14+).
  • Experience designing and developing APIs using OpenAPI specifications and RESTful best practices.
  • Strong working knowledge of HTML, JavaScript, Node.js, UNIX shell scripting, Python, and Groovy scripting.
  • Understanding of modern application security, scalability, resiliency, and performance engineering practices.
  • Proficiency with build and dependency management tools such as Maven and Gradle.
  • Experience with automation and configuration management tools including Chef and Ansible.
  • Hands-on experience with Jenkins, SonarQube, CI/CD pipelines, and Agile software development methodologies.
  • Strong understanding of release management practices including Canary, Blue-Green, and Rolling deployments.
  • Extensive experience with public cloud platforms (AWS, Azure, or GCP) and cloud-native application development.
  • Strong expertise in containerization and orchestration technologies including Docker, Kubernetes, and OpenShift.
  • Deep understanding of DevOps practices, infrastructure automation, deployment strategies, and operational excellence in cloud environments.
  • Exposure to monitoring and observability tools such as Splunk, ELK Stack, and related logging platforms.
  • Exposure to Generative AI and Large Language Model-based solutions, including integrating AI services through APIs and leveraging AI-assisted development tools such as GitHub Copilot and enterprise AI platforms.
  • Familiarity with AI-driven application patterns such as Retrieval-Augmented Generation, intelligent workflows, agentic solutions, and prompt engineering concepts for enterprise applications.
  • Applicants are expected to abide by Mastercard's security policies and practices, ensure the confidentiality and integrity of accessed information, report suspected security violations or breaches, and complete mandatory security training.

Responsibilities

  • Design, develop, and lead scalable full-stack Java applications with React or Angular as the frontend.
  • Act as the team's most senior engineers in determining design choices and technical standards, including platforms and coding standards.
  • Design and implement software aligned with Mastercard's Enterprise Architecture and services.
  • Write high-quality, maintainable code that meets business needs and timelines.
  • Collaborate with product teams to understand requirements, define the product, identify solutions, propose ideas, and provide technical thought leadership.
  • Provide detailed cost and time estimates, define technical scope and requirements, and assist project managers in managing scope throughout the project lifecycle.
  • Ensure system design supports zero downtime in production.
  • Address operational and business concerns to ensure consistent delivery of quality services.
  • Lead a focused team of engineers with an emphasis on innovation and AI adoption.

Desired Qualifications

  • Experience working across multiple programming languages such as Java, Scala, C#, and Python.
  • Familiarity with workflow orchestration and automation platforms including Netflix Conductor, Apache Airflow, Camunda, and N8N.
  • Knowledge of OpenTelemetry and distributed tracing concepts.
  • Familiarity with business rules engines such as Drools and EasyRules.
  • Understanding of cryptographic concepts including PKI infrastructure, hashing, encryption, consensus algorithms, and virtual machine architectures.
  • Experience with Infrastructure as Code and infrastructure automation frameworks.

About the Company

Mastercard

Processes payments across a global network

Mastercard operates a global payment network connecting financial institutions, merchants, businesses and consumers. It authorizes, clears and settles transactions between participating institutions, while banks issue Mastercard-branded cards and extend credit to their customers. Its services also include fraud detection, identity verification, payment tokenization, data analysis and consulting for organizations managing commerce and financial operations. The company earns network fees linked to payment volumes and processed transactions, along with fees for its services and solutions. Founded by a group of banks in 1966, Mastercard is headquartered in Purchase, within Harrison, New York.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Harrison, New York
Founded
1966

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