Rahul Sharma

CTO

Seattle, Washington, United States17 yrs 11 mos experience

Highly StableAI Enabled

Key Highlights

Expert in building scalable distributed systems.
Led engineering teams at Netflix for global content delivery.
Strong background in cloud storage and compute infrastructure.

Stackforce AI infers this person is a Backend-heavy Infrastructure Engineer specializing in cloud storage and distributed systems.

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Skills

Core Skills

Distributed SystemsTraffic Management

Other Skills

Content DeliveryAIJavaAmazon Web Services (AWS)Amazon S3Web ServicesWeb ApplicationsRequirements AnalysisBusiness AnalysisTestingSOACloud ComputingShell ScriptingSoftware DevelopmentAlgorithms

About

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

17 yrs 11 mos

Total Experience

2 yrs 10 mos

Average Tenure

10 mos

Current Experience

Netflix

Engineering Leader

Aug 2025 – Present · 10 mos · Seattle, Washington, United States · Remote

As Engineering Leader for Netflix’s 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.

Traffic ManagementContent DeliveryDistributed SystemsAI

Microsoft

2 roles

Principal Software Engineering Manager

Promoted

Oct 2016 – Oct 2024 · 8 yrs

Azure Core.
Azure Compute Fleet: https://azure.microsoft.com/en-us/products/compute-fleet
Azure Spot Virtual Machines: https://azure.microsoft.com/en-us/products/virtual-machines/spot
Powering AI infrastructure

Senior Software Engineer

Jun 2016 – Jun 2018 · 2 yrs

Building Limitless Azure Storage

Amazon

Software Development Engineer

Sep 2013 – Sep 2016 · 3 yrs · Greater Seattle Area

Working to develop systems that process all payments going through Amazon. Over 100 million customers and merchants send tens of billions of dollars moving at light-speed through our systems annually. Currently, we are building next generation of payments system.
Analysis and fix to issues in the payments platform related to matching and reconciliation in a large scale distributed accounting platform.

Infosys

Software Engineer-Technology

Oct 2010 – Aug 2013 · 2 yrs 10 mos · Pune, Maharashtra, India

Part of various Auto Loan Originations teams for enhancement of an automated and integrated common lending platform that supports loan origination across multiple lines of business.
Developed Blaze rule solution for automated counter of auto loan application based on certain parameters.
Developed JAX WS services those were responsible for upload and conversion of documents from customers.
Various enhancements to auto loan origination platform, including working on performance analysis and tuning for high volume services.
Worked on build and deployment automation.

Cognizant technology solutions

Software Engineer

Jun 2009 – Oct 2010 · 1 yr 4 mos · Pune, Maharashtra, India

Involved in test driven development of applications to facilitate RM’s of institutional clients
Implemented TDD for Global know your client project jointly and met strict compliance deadlines.