Backend Engineer (BLR)

About Revefi Founded in 2021 by Sanjay Agrawal and Shashank Gupta, the visionary co-founders of ThoughtSpot (Gartner’s BI Magic Quadrant leader), Revefi is a Series A funded startup that has raised $30 Million from renowned investment firms like Icon Ventures, Mayfield Fund, GTM Capital, and StepStone Group. Revefi’s Agentic AI solution is transforming how modern enterprises manage their data reliability, operations, quality, and cost. Our flagship AI Agent is a cross-platform solution that spans all major cloud data providers, and is enabling major corporations like Verisk, AMD, Ocean Spray, and Stanley Black & Decker optimize cloud spend, ensuring high data quality, and operational performance through AI-powered automation and intelligence. We’re building the future of Cloud Data Cost Optimization and Cloud Data Operations, and are looking for the right individuals to join us on this journey. Revefi was recently recognised as a 2025 Gartner® Cool Vendor™. You can read up more about our values, and vision at revefi.com . The Role We are seeking a talented and experienced Lead Software Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining our cloud-based Software-as-a-Service (SAAS) platform. You will play a crucial role in leading the technical direction, architecture, and implementation of our backend systems. Collaboration with cross-functional teams, including product managers, frontend engineers, and DevOps, will be essential to deliver high-quality, scalable, and reliable solutions. Are you up for the challenge of building an amazing product and team from scratch and taking your career to the next level? If building an exceptional distributed team excites you, if building an awesome enterprise product tech stack that handles the test of time challenges you, then you are at the right place! Responsibilities Develop high-quality, efficient, and maintainable code using Java, Python, C++, and other relevant technologies. Work on the design and architecture of highly scalable and reliable backend systems for our SaaS platform. Implement and maintain Distributed Systems to handle large volumes of data, ensuring high availability and fault tolerance. Collaborate closely with cross-functional teams to understand product requirements and translate them into technical specifications. Optimize system performance and scalability to meet the increasing demands of our users. Conduct comprehensive testing and debugging to identify and resolve issues in a timely manner. Stay up-to-date with the latest trends and best practices in backend development, cloud technologies, and distributed systems. Requirements Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. 1+ years of professional experience in backend development, with a strong focus on Java, C++, or relevant technologies. Solid understanding of software design principles, design patterns, and architectural best practices. Strong problem-solving skills and the ability to debug complex issues in a distributed environment. Excellent communication and collaboration skills, with a proven ability to work effectively in a cross-functional team. Passion for building scalable products and delivering delightful user experiences. Excellent communication skills High ownership and agency Nice to have Experience with Cloud warehouses like Snowflake, Databricks, Google Big Query etc. Experience with cloud platforms, such as AWS, Azure, or Google Cloud. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes. Experience with database systems, both SQL and NoSQL. Contributions to open-source projects or active participation in the software development community. Experience in designing and developing cloud-based SAAS platforms. Experience in working on distributed systems and working with large-scale datasets. Join Revefi's team and lay the foundation for our Cloud Data Operations solution. Shape the future of the product and deliver a seamless customer/user experience.