Atul Goyal

About Atul Goyal

Accomplished engineering leader with 17+ years of experience driving large-scale distributedsystems, AI/ML infrastructure, and high-impact technical strategy at Meta and Microsoft. Proventrack record of leading engineers, delivering multi-billion dollar business impact, andscaling mission-critical systems. Recognized for technical innovation, cross-functionalleadership, and commitment to developing high-performing teams.

Experience

1. Engineering Director Senior Principal Engineer

   Meta

   Jan 2018 — Present · Bellevue, WA, US

   UberTL – Monetization Capacity, Efficiency & Hardware- Lead 300+ engineers across Monetization Infra, Ranking, and Product, driving strategy and execution for capacity, efficiency, and hardware with multi-billion dollar impact- Oversee all aspects of capacity management and system efficiency, optimizing ROI and implementing advanced hardware strategies for compute, storage, and AI.UberTL – Monetization Reliability Strategy- Guide 200+ engineers to enhance reliability across Monetization and core dependencies, including AI, Data, and Developer Infrastructure- Develop and execute multi-year strategies to improve reliability, safety, resilience, and SEV mitigation, achieving north-star reliability goals in revenue loss.UberTL – Monetization Online Data Infrastructure- Manage Monetization’s Online Data Infra, leading 50+ engineers to support Meta’s Ads-scale data and storage needs- Build and operate large-scale distributed storage systems, including Meta’s largest key-value store, and develop frameworks for batch data ingestion and publishing- Implement privacy and compliance features to meet regulatory requirements, collaborating closely with Ads and ML teams.Technical-Lead – Monetization Storage Systems & Data Solutions- Drive technical direction for Monetization’s Online Data Infra, focusing on real-time and batch storage systems- Design and manage a diverse portfolio of storage solutions, including high-throughput in-memory stores and distributed key-value stores for Ads and ML features.Technical Lead – Monetization Real-Time Data Platforms- Lead teams in architecting and scaling real-time key-value stores for Ads, implementing geo-replication, tiering, SSD optimizations, and cost-effective growth- Foster strong partnerships across Meta infra to deliver resilient, scalable systems.

Education

• Indian Institute of Technology (Banaras Hindu University), Varanasi

  B.Tech, Computer Science

  2005 — 2009

Skills

• C#
• .net
• Data Structures
• Visual Studio
• C++
• C
• Design Patterns
• Perl
• Xml
• Web Services
• Distributed Systems
• Software Engineering
• Testing
• Algorithms
• Software Design
• Software Development
• Python