Onkar Sarvade

About Onkar Sarvade

Experienced Staff-Level Software Engineer & System Architect with 10+ years of expertise across fintech, e-commerce, and sports tech. Specialized in designing scalable distributed systems and cloud-native architectures handling millions of users.Expert in Kafka, Node.js, Spring Boot, React, and AWS, with deep experience in event-driven systems, observability platforms, and high-throughput messaging. Currently driving Dream11’s Observability Platform, centralizing 16+ Gbps of log traffic across 600+ services and 500+ engineers, and building AI-driven anomaly detection and RCA automation using LangChain, LangGraph, Bedrock, OpenAI, and Gemini.Proven track record as both a hands-on builder and a tech leader — from leading lean engineering teams at DreamSetGo to architecting financial systems (including first UPI integration) and delivering high-impact web and mobile applications.Passionate about clean code, microservices, resilient system design, and AI-driven automation. Enthusiastic about solving complex engineering challenges and enabling organizations to scale with confidence. Highlights10+ years of full-stack and backend engineering experience.Expertise in distributed systems, observability, and AI-driven platforms.Led architecture and infrastructure for financial, e-commerce, and sports tech industries.Open-source contributor (Datadog APM, Spark/Kafka, CloudFront SEO optimizations).Strong blend of technical leadership and hands-on coding.

Experience

1. Lead Software Engineer

   Dream11

   Dec 2024 — Present · Mumbai, IN

   Built and scaled the Observability Platform handling 16+ Gbps log traffic, centralizing telemetry across 600+ services and 500+ engineers. Designing and managing systems for logs, metrics, traces, and incident management using distributed tracing, alerting, and monitoring tools- Building a complete Observability stack with SigNoz, ClickHouse, and OpenTelemetry (OTel) to provide real-time visibility and actionable insights- Developed AI-driven anomaly detection and alert noise reduction, cutting false positives and accelerating incident response. Innovating auto-detection of Root Cause Analysis using LangChain and LangGraph, integrating multiple model interfaces (AWS Bedrock, OpenAI, Gemini, etc.) to create intelligent diagnostic workflows.

Education

• Walchand College of Engineering(A Govt. Aided Autonomous Institute),SANGLI-M.S

  Bachelor of Technology - BTech

  2011 — 2015

• Walchand College of Arts and Scrience, Solapur

  Science

  2009 — 2011