Rahul Sharma
Scaling Global Network Traffic, Fleet Efficiency & Compute Infra | GPU/AI/ML Infrastructure | Distributed Systems at Scale | Cloud Compute & Network Traffic | High-Scale, Resilient Systems defining global standards
- Role
- Engineering Manager at Netflix
- Location
- Seattle, WA, US
- LinkedIn followers
- 500 followers
About Rahul Sharma
Software Engineer with strong knowledge of Algorithms and experience in design, development of large scale distributed systems and cloud storage and compute infrastructure and solving challenges related to durability, availability, and concurrency while serving millions of requests per second. Passionate about building core services that support cloud storage api\'s. Currently working on management of persistent volumes and storage for stateful and stateless container workloads. Specific interests includes working in distributed storage space, containers, building or implementing optimizations for partition layer for cloud storage as a distributed wide column store, distributed file system which provides efficient, reliable access to data using large clusters of commodity hardware, garbage collection algorithms in clusters, AI & machine learning.
Experience
Engineering Manager
Aug 2025 — Present · Seattle, WA, US
As Engineering Leader for Netflix’s Network Traffic & Managed Fleet team, I lead the group behind the systems that intelligently route and deliver Netflix content—including Live events—to hundreds of millions of members worldwide.We design and operate Netflix’s global traffic management platform and the world’s largest purpose-built streaming CDN, ensuring seamless, high-quality playback for both on-demand and live experiences—at massive scale.Our mission: build the next generation of distributed systems, automation, and network reliability to keep Netflix fast, resilient, and always available, no matter where, when, or how our members watch.We’re pushing the boundaries of what’s possible in internet-scale streaming, leveraging AI, and I’m always looking to connect with engineers and data scientists passionate about building the future of media delivery.
Education
RGTU
Bachelor of Engineering - BE, Computer Science
2004 — 2008
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