Engineering Manager

We are looking for an Engineering Manager who can: Ensure On-time and Quality delivery of Product Features by deploying Agile Methodologies and using the Scrum framework. Collaborate with Product, QA and Operations team to ensure timely delivery, ensure Platform Uptime and Manage Technical Debt. Support and collaborate with Product Management team for defining Product Strategy and achieving Product vision. Participate in Backlog Refinement and assist Product Management Team with User Story Prioritization. Participate in Sprint Planning along with Product Team and Technical Leads to define Sprint scope, goal and deliverables. Define, Deploy and Improve SDLC processes in co-ordination with Product and QA Teams. Ensure all User Stories are estimated, software designs created and Sprint dependencies are met before Sprint begins to ensure smooth Sprint execution. Assign tasks to team members and monitor Sprint progress to ensure timely delivery. Ensure team conducts Unit Testing and Peer Code Reviews are done. Send periodic updates on Sprint Progress. Identify bottlenecks to sprint schedule and address them in a timely manner. Support Production Support team in addressing Production issues and meeting SLAs. Collaborate with Technical Architect participate in development and deployment of Platform Architecture that is aligned with Product Vision. Deploy and Institutionalise AI Assisted Coding tools and guidelines for use. Build and develop a high performing team by hiring, onboarding, coaching and timely upskilling. Define Goals and objectives and conduct performance reviews for the team. Send Weekly Reports for Executive Team. Must Haves Bachelor s or Master s degree in Computer Science or a related discipline. 10+ years of Professional experience, including 5+ years in Software Product/Platform development. Proficiency in at least one of Go, Python, or Java with prior experience. Demonstrated experience in executing or implementing AI solutions within live projects is mandatory. Prior experience in using AI Tools for Coding, Code Refactoring, Unit Testing, Automated testing and documentation is preferred. Demonstrated ability to architect scalable, secure, customer-focused solutions. Experience with performance optimization and security frameworks. Excellent grasp of Software Engineering processes, DevOps, and experience with Agile and Scrum practices. Familiarity with tools like Git, Maven, Jenkins, etc. Effective communication, organizational, and conflict resolution skills. Positive, solution-oriented attitude with strong people management skills. Experience in product-based companies with a strong understanding of the product lifecycle and strategy is mandatory. Proven delivery capabilities in high-volume SaaS platforms. A background in startups or high-growth scaling environments is essential, along with the ability to adapt in dynamic settings If