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Revefi logo

Lead Backend Engineer (BLR)

Revefi
Posted May 28, 2026, 12:15 AM UTC
🇮🇳India🏢Hybrid📁Engineering & Development
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🚀 About Revefi Founded in 2021 by Sanjay Agrawal and Shashank Gupta, the visionary co-founders of ThoughtSpot (a leader in Gartner’s BI Magic Quadrant), Revefi’s Agentic AI is transforming how modern enterprises manage their data reliability, operations, quality, and cost. Our flagship AI Agent — Raden , for automated data spend optimization and operations — is a cross-platform solution that spans all major cloud data providers. It seamlessly brings together DataOps and FinOps to help enterprises continuously optimize cloud spend, ensure high data quality, and boost operational performance through GenAI-powered automation and intelligence. Backed by $20M in Series A funding from Icon Ventures, Mayfield Fund, GTM Capital, and StepStone Group, we’re building the future of Data Spend Optimization and Cloud Data Operations . Learn more about our rapid customer value and vision at revefi.com . 🎯 The Role: Lead Backend Engineer We're looking for a hands-on, experienced Backend Lead who can both drive technical excellence and lead a team of engineers . This is a rare opportunity to join an early-stage startup and influence architecture, scale systems, and shape product direction at the intersection of cloud, data, and AI. 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. 🛠 What You’ll Do Lead the architecture, design, and implementation of scalable backend services for our SaaS platform Own technical decisions across distributed systems, cloud-native workflows, and backend infrastructure Drive performance, reliability, and observability initiatives across core platform components Guide and mentor a growing team of backend engineers through technical reviews, goal setting, and career growth Collaborate cross-functionally with product, frontend, and DevOps teams to deliver high-impact features Make foundational decisions around backend technologies, frameworks, and system design Establish and enforce best practices in software engineering, testing, and deployment Participate in hiring, onboarding, and fostering a strong engineering culture of collaboration and excellence Stay on top of industry trends, evaluate new technologies, and help set the technical roadmap ✅ What We’re Looking For 8+ years of backend development experience (Java, Golang, C++, or similar languages) Proven expertise in designing and scaling distributed systems and cloud-native architectures Track record of technical leadership, mentorship, and team-building Deep understanding of backend fundamentals — data structures, networking, system design, and cloud scalability Strong debugging, problem-solving, and performance optimization skills Experience working in fast-paced product-first startup environments High ownership mindset with strong communication and collaboration skills Passion for building clean, scalable, and reliable systems that last 💡 Bonus Skills Experience with cloud data warehouses: Snowflake, BigQuery, Databricks, Redshift Hands-on with AWS, GCP, or Azure in production environments Familiarity with containers (Docker) and orchestration (Kubernetes) Experience working with both SQL and NoSQL systems Exposure to building SaaS platforms or developer infrastructure Open-source contributions or active engagement in developer communities 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 lead, scale, and innovate with us? Let’s build the future of cloud data operations.

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