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Mastercard

Lead Software Engineer (Java Full stack developer)

LocationPune, India
Typefull-time
SeniorityLead
Experience9+ yrs
DepartmentBusiness & Market Insights (B&MI)
Company size10,000+ people
PostedAug 26, 2026 · 1mo ago
Verified live6h ago
At a glanceSummarised by Seekless from the posting.
Must have20
Bachelor's or Master's degree in Information Technology, Computer Science, Engineering, or a related discipline
Strong verbal and written communication skills with the ability to collaborate effectively across multiple organizational levels
Around 9 years of work experience in the software engineering role
Strong proficiency in Java 17+, Spring Boot, Spring Framework, Hibernate, and modern database technologies including Oracle, SQL Server, PostgreSQL, Redis, MongoDB, and Elasticsearch
Proven 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 (LLM) 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 (RAG), intelligent workflows, agentic solutions, and prompt engineering concepts for enterprise applications
Nice to have6
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
Strong understanding of cryptographic concepts including PKI infrastructure, hashing, encryption, consensus algorithms, and virtual machine architectures
Experience with Infrastructure as Code (IaC) and infrastructure automation frameworks
Eligibility4
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
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines
Skills
Java 17+
Spring Boot
Spring Framework
Hibernate
Oracle
SQL Server
PostgreSQL
Redis
MongoDB
Elasticsearch
React JS
Angular
HTML
JavaScript
Node.js
UNIX shell scripting
Python
Groovy scripting
Maven
Gradle
Chef
Ansible
Jenkins
SonarQube
AWS
Azure
GCP
Docker
Kubernetes
OpenShift
Splunk
ELK Stack
Kafka
RabbitMQ
AWS SQS
GitHub Copilot
OpenAPI
Scala
C#
Netflix Conductor
Apache Airflow
Camunda
N8N
OpenTelemetry
Drools
EasyRules
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
Lead Software Engineer (Java Full stack developer)
Overview
Mastercard 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 of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
Mastercard’s Business & Market Insights (B&MI) group empowers organizations to achieve growth & innovation goals by providing unparalleled data-driven insights and advanced analytics. By leveraging proprietary data and global expertise, B&MI helps businesses make smarter, more informed decisions that drive profitability and success. We turn complex data into actionable strategies that lead to better outcomes and sustained competitive advantage.
We are currently looking for a ‘Lead Software Engineer’ for Payment Reconciliation Intelligence Program, within B&MI group, to design scalable architecture and lead development of the new business requirements for product used by global B2B customers.
Responsibilities
Role and Responsibility
As a Lead SDE you will design, develop and lead full-stack Java scalable applications with React or Angular as the frontend.
• Act as senior most engineers in the team to determine everything from design choices to technical standards, such as 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 adheres to timelines.
• Collaborate with cross functional teams - Product teams to understand the requirements, define product, identify solution, 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 highly focused team of engineers with an eye on innovation and AI adoption
Requirements
-All About You-
Education and professional experience
Bachelor’s or Master’s degree in Information Technology, Computer Science, Engineering, or a related discipline.
Strong verbal and written communication skills with the ability to collaborate effectively across multiple organizational levels.
Around 9 years of work experience in the software engineering role.
Technical Expertise
Strong proficiency in Java 17+, Spring Boot, Spring Framework, Hibernate, and modern database technologies including Oracle, SQL Server, PostgreSQL, Redis, MongoDB, and Elasticsearch.
Proven 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.
Tools & Methodologies
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.
Infrastructure & Cloud
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.
AI & Emerging Technologies
Exposure to Generative AI and Large Language Model (LLM) 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 (RAG), intelligent workflows, agentic solutions, and prompt engineering concepts for enterprise applications.
Nice to have
Good to have Skills
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.
Strong understanding of cryptographic concepts including PKI infrastructure, hashing, encryption, consensus algorithms, and virtual machine architectures.
Experience with Infrastructure as Code (IaC) and infrastructure automation frameworks.
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.
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