Job Description :

- 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 :

1. Java

2. ReactJS / Express JS / Node.js

3. Springboot

4. 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.