Own end-to-end engineering delivery for the MR product area, including feature development, product quality, platform stability, scalability, and operational excellence.
Take direct accountability for the performance, output, and growth of the MR development team, ensuring commitments are delivered with the right quality and within planned timelines.
Work closely with product management, architecture, QA, DevOps, and support teams to translate business requirements into technical execution plans, sprint goals, and engineering roadmaps.
Provide strong technical leadership across the Java full-stack landscape used in MR, including frontend, backend, APIs, microservices, cloud deployment, and data workflows.
Guide the team in building scalable and maintainable applications using React, TypeScript, Node.js, Express, and modern engineering practices.
Review designs, APIs, integrations, code quality, and implementation approaches to ensure alignment with platform standards, reusability, maintainability, and long-term product direction.
Ensure the team follows strong software engineering practices, including coding standards, code reviews, design reviews, documentation, automated testing, and secure development practices.
Mandatory Skills :
Bachelor s degree in Computer Science / Engineering or equivalent practical experience.
11-15 years of experience in software engineering, with strong experience in leading product engineering teams.
Proven experience managing and mentoring Java full-stack development teams in product or SaaS environments.
Strong technical background in Java full-stack engineering with hands-on understanding of :
Java
ReactJS / Express JS / Node.js
Springboot
API-first and microservices-based application development
Strong understanding of scalable frontend and backend design for enterprise-grade product platforms.
Experience with databases and data-intensive application development, preferably involving Postgres and other modern data platforms.
Good understanding of CI/CD pipelines and engineering release practices using tools such as GitHub Actions, GitLab CI/CD, or similar platforms.
Experience working with AWS environments and cloud-native product deployment models.