Sudhir Tonse

About Sudhir Tonse

A proven engineering leader with extensive experience building and scaling engineering organizations, driving innovation, and fostering high-performing teams. Skilled in navigating startup and enterprise environments, with a focus on delivering impactful technology solutions and cultivating talent.Key Highlights Organizational Leadership: Built and scaled teams of 100+ members, with expertise in roadmapping and operational excellence. Managed budgets, including Annual Operating Plans (AOPs), vendor contracts, and large rapidly growing organizations. Led distributed teams across the US, Europe and India. Strategic Contributions: At Netflix, played a critical role in the transition from DVD to Streaming and On-Prem to Cloud. At Uber, led engineering during pre-IPO hyper-growth in the Marketplace and Data + AI domain. At DoorDash, contributed to scaling and expansion from pre-IPO to maturity leading the Data + AI domain. Product & Platform Expertise: Directed Infrastructure/Platform and Product/Platform teams for B2C and marketplace businesses. Delivered distributed, high-scale, and fault-tolerant system designs. Advisory & Mentorship: Advisor to startups such as Nirmata, AdMaxim and various seed stage startups (with founders I worked with and managed) Member of Corporate/Product Advisory Boards (CABs) at Redpoint Ventures, Databricks, Amplitude, StarTree. Mentor to engineering leaders via PlatoHQ for over six years (100+ sessions for 25+ Eng leaders) Community & Open Source Contributions: Managed open-source projects under Netflix\'s GitHub portfolio. Speaker at conferences like OSCON and QCon, focusing on big data, cloud migration, and distributed systems. Several keynotes/Fireside Chat panels at Snowflake, StarTree and other Data + AI conferences Active participant in Silicon Valley\'s tech community, hosting meetups and consulting on emerging tech trends.Technical Specialties Big Data, AI/ML Frameworks Cloud Architecture (AWS) Distributed, High-Scale, Fault-Tolerant Systems Personalization, Recommendations, and Ads-based SystemsPassionDeeply passionate about technology and mentorship. Actively explores and experiments with emerging trends to drive impact and organizational growth. Love scaling engineering organizationsEngagements & SpeakingAvailable for advisory roles, speaking engagements, and leadership consulting to advance organizational technology strategies.

Experience

1. Head of Engineering

   Galileo

   Mar 2025 — Present · San Francisco, CA, US

   Leading the Engineering organization to help Galileo deliver on its vision and promise. See to hire some good talent (SF Bay Area and Bengaluru, India) for multiple positions. See https://ats.rippling.com/galileo/jobs

Education

• Malnad College of Engineering

  B.E. (Electronic & Communication), Electronics, Computer Science

• National University

  MS Electronic Commerce, Electronics, Computer Science

  2001 — 2003

Skills

• Object Oriented Design
• Open Source
• Cassandra
• Architecture
• Agile
• Amazon Ec2
• Java
• Big Data
• Nosql
• Design Patterns
• Application Servers
• Web Servers
• Web Applications
• Distributed Systems
• Architectures
• Engineering Management
• Agile Methodologies
• Amazon Web Services (Aws)
• Rest
• Mapreduce
• Apache
• Jms
• High Availability
• Tomcat
• Memcached
• Ant
• Continuous Integration
• Spring Framework
• Spring
• Ec2
• Web Services
• Technical Leadership
• Internationalization
• Cloud Computing
• Perforce
• System Architecture
• Scalability
• Hadoop
• Server Architecture
• Servlets