Lead Software Engineer (Java Full stack developer)

Overview

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.

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.

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