What Makes You a Great Fit :

- Qualification: Bachelor's or Master's degree in Computer Science, Engineering, or related field

- Experience: 12 - 15 years of enterprise in software engineering, with at least 5 years in senior engineering leadership roles.

- Proven experience leading SaaS product development teams.

- Experience with MERN stack (MongoDB, Express.js, React, Node.js).

- Exposure to AI/ML and Generative AI technologies including LLMs, MLOps, and AI-driven automation.

- Strong hands-on expertise in Java, Node.js, and React.

- Deep understanding of cloud-native architecture (AWS preferred) and multi-tenant SaaS platforms.

- Strong experience with microservices architecture, REST/GraphQL APIs, and distributed systems.

- Proficiency with CI/CD pipelines, DevOps practices, Docker, and Kubernetes.

- Solid understanding of SQL and NoSQL databases such as PostgreSQL, MySQL, and MongoDB.

- Experience implementing secure, scalable, high-availability systems.

Key Responsibilities :

- Own end-to-end product engineering for the SaaS platform, from architecture design through development, release, and continuous improvement.

- Define and drive the technical vision and roadmap for scalable, secure, multi-tenant cloud-native products deployed on AWS.

- Lead backend engineering using Java and Node.js and frontend development using React, ensuring high performance, reliability, and maintainability.

- Collaborate closely with Product Management to translate product requirements into technical solutions and executable engineering roadmaps.

- Design and govern system architecture including microservices, APIs, databases, and distributed systems.

- Establish engineering best practices across SDLC including coding standards, peer reviews, automated testing, CI/CD, DevSecOps, and cloud-native deployment patterns.