Saurabh Sharma

CTO

Seattle, Washington, United States15 yrs 2 mos experience
Highly StableAI Enabled

Key Highlights

  • Expert in designing AI-powered cloud infrastructure.
  • Proven track record in distributed systems engineering.
  • Leader in advancing cloud solutions for global platforms.
Stackforce AI infers this person is a Cloud Infrastructure and AI Specialist with a focus on distributed systems.

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Skills

Core Skills

Cloud InfrastructureDistributed SystemsAi & Machine Learning Systems

Other Skills

AWS CloudFormationAWS CodePipelineAWS LambdaAgile MethodologiesAlgorithmsAmazon DynamodbAmazon EC2Amazon Relational Database Service (RDS)Amazon S3Amazon Web Services (AWS)AmazonSQSAndroidApache KafkaAutomationBash

About

Principal Engineer specializing in distributed systems, cloud infrastructure, and AI-powered platforms across Microsoft Azure, AWS, and Oracle Cloud. I have extensive experience designing and delivering large-scale distributed systems and advancing cloud infrastructure across major cloud providers and global e-commerce platforms. At Microsoft, I am part of the Azure Infrastructure Engineering and SCHIE (Silicon and Cloud Hardware Infrastructure Engineering) teams, where we develop the core infrastructure and foundational firmware that power Microsoft’s Intelligent Cloud. Our work enables millions of servers and racks worldwide to support workloads from personal blogs to enterprise and AI supercomputing. This infrastructure underpins critical services such as Office 365, Bing, OneDrive, Xbox Live, and the Azure platform itself. A significant part of my work involves using AI to improve diagnostic and servicing solutions for server and rack infrastructure. By integrating AI into these systems, we enhance reliability, efficiency, and predictive maintenance across Microsoft’s global data centers. My expertise spans distributed systems, cloud-native architecture, and advanced infrastructure engineering. I have hands-on experience with AWS services including Redshift, S3, DynamoDB, SQS, Lambda, EC2, CloudFormation, Data Pipeline, and DeviceFarm. Alongside AWS, I work extensively with Azure technologies such as Azure AI Foundry, Azure OpenAI Service, Azure Active Directory, Key Vault, Logic Apps, Virtual Machines, Data Factory, Synapse Analytics, Azure DevOps, Functions to name a few. These platforms allow me to design and scale intelligent, cloud-native systems that support mission-critical workloads and AI-driven innovation. Earlier in my career, I strengthened resilience and device security through work on IoTivity Security Layer, Tizen HAL, SEAndroid, and Android system enhancements, laying the groundwork for secure and scalable platforms. Today, my focus is advancing AI-powered infrastructure that enables large-scale intelligent services—from enterprise AI applications to the underlying systems supporting Azure OpenAI Service and AI Foundry. By combining expertise in distributed systems, infrastructure engineering, and applied AI, I help deliver performance, scalability, and security for the future of intelligent computing. Passionate about enabling the “world’s computer,” I am committed to driving growth, efficiency, and trusted cloud experiences that power over 200 Microsoft online businesses and countless customer workloads worldwide.

Experience

15 yrs 2 mos
Total Experience
3 yrs 4 mos
Average Tenure
1 yr 7 mos
Current Experience

Microsoft

Principal Engineer

Sep 2024Present · 1 yr 7 mos · Redmond, Washington, United States

Cloud Infrastructure (Azure & AWS)AI & Machine Learning SystemsFirmware & System EngineeringAutomationTechnical LeadershipDistributed Systems+1

Bytedance

Senior Staff Engineer

Jan 2023Sep 2024 · 1 yr 8 mos · United States

Amazon

Software Development Engineer

Dec 2017Jan 2023 · 5 yrs 1 mo · Greater Seattle Area

Samsung electronics

Lead Engineer

Jul 2012Dec 2017 · 5 yrs 5 mos

Globallogic

Software Developer

Jan 2011Jun 2012 · 1 yr 5 mos

Education

Hansraj college University of Delhi

Bachelor of Science (B.Sc.)

Jan 2004Jan 2007

Uttar Pradesh Technical University

MCA — Computer Science

Jan 2007Jan 2010

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