Revefi, founded in 2021 by the co-founders of ThoughtSpot, is revolutionizing enterprise data management through their Agentic AI platform. Recently securing $20M in Series A funding, they're developing Raden, an innovative AI Agent for automated data spend optimization and operations across major cloud providers.
The Lead Backend Engineer role presents a unique opportunity to join an early-stage startup at the intersection of cloud, data, and AI. This position combines hands-on technical leadership with team management responsibilities, working directly with the founders to shape the company's technical direction.
As the Lead Backend Engineer, you'll be responsible for architecting and implementing scalable backend services, making crucial technical decisions, and leading a team of engineers. The role requires expertise in distributed systems, cloud-native architectures, and a proven track record of technical leadership with 8+ years of experience in backend development.
The ideal candidate will have deep technical knowledge in backend fundamentals, experience with cloud platforms (AWS, GCP, Azure), and familiarity with modern development tools including containers and orchestration systems. Additional experience with cloud data warehouses (Snowflake, BigQuery, Databricks) and both SQL/NoSQL systems is highly valued.
This role offers the opportunity to work with cutting-edge technology, shape product direction, and build critical infrastructure for an AI platform. You'll be joining a well-funded startup with strong technical leadership, working on meaningful challenges in cloud data operations while having significant influence on technical decisions and company culture.
The position is based in Bangalore with a hybrid work arrangement, offering the chance to work alongside experienced founders and engineers while tackling complex challenges in cloud, data, and GenAI. This is an excellent opportunity for a senior technical leader who wants to make a significant impact in a rapidly growing startup focused on enterprise data management and AI innovation.