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Job Description
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.
You’ll work directly with the founders and engineering leadership to design backend systems that are secure, scalable, and cost-efficient — while also mentoring and growing a high-caliber engineering team.
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.
You’ll work directly with the founders and engineering leadership to design backend systems that are secure, scalable, and cost-efficient — while also mentoring and growing a high-caliber engineering team.
At Revefi, this is more than just a technical leadership role. You’ll help shape our product, our platform, and our culture from the ground up.
🚀 Why Join Us
- Work alongside world-class founders and engineers
- Build critical backend infrastructure for a cutting-edge AI platform
- Tackle meaningful challenges at the intersection of cloud, data, and GenAI
- Influence key technical and product decisions early on
- Grow rapidly with autonomy, ownership, and mentorship
Ready to learn, grow, and build impactful backend systems with us? Join us in shaping the future of cloud data operations.