---
title: "Ravi S. - Engineering Leader in Greater Bengaluru Area | Tal"
description: "Meet Ravi S., Leadership @ Uber | ex-Microsoft, Salesforce, Adobe, VMware , Expedia based in Greater Bengaluru Area. AI stack includes claude code, codex, and cursor."
image: "https://tal.club/meet/ravi-sharma-6/share-image"
---

# Ravi S\. on Tal

## Headline

Leadership @ Uber \| ex\-Microsoft, Salesforce, Adobe, VMware , Expedia

## About

15\+ years of rich experience in software back\-end development life cycle , including 5\+ years of strong leadership experience in hiring, nurturing, leading, growing talented teams\. My key tech skills include designing and building highly concurrent, scalable, fault\-tolerant distributed and asynchronous systems delivering high throughput and low latencies involving big data technologies\. Over the years, I've gathered extensive experience in designing and building products and systems including its instrumentation and custom tooling for performance monitoring resulting in highly available, high throughput\-low latency systems\. Technical expertise includes Core Java, Concurrency, asynchronous io, J2EE, web services, micro services, Scala , Python Django, SQL, etc with great object oriented design concepts and design patterns having solid foundation in data structures and algorithms\. Tech Specialties: System design, architecture, frameworks for highly concurrent, scalable distributed asynchronous systems spanning technologies like elasticsearch, kafka, spark, cassandra, mesos, zookeeper, mongodb, redis Design and implementation : a\) Design and development of micro\-services at scale on AWS cloud b\) Design and implementation of REST API's c\) Development of flight service transactions workflows d\) Development of frameworks from scratch in J2EE e\) Expertise in Java tech stack : Spring\-REST, Hibernate, Servlets , Junit , JSP etc\. f\) Expertise in Design patterns , Data Structures & Algorithms g\) Design and implementation of AI conversational flows at the backend of chatbots with Graphql/Kotlin\. Skills in Data computing : a\)Building and optimising ‘big data’ data pipelines, architectures and data sets b\)Hands on Big Data technologies like Kafka, Hbase, Spark, Elastic Search, etc c\) Stream\-processing systems : Storm and Spark\-Streaming d\) AWS cloud services: EC2, EMR, RDS, DynamoDB and Redshift e\) Python , Scala Quality : a\) Test Driven Development , Unit Testing , Component testing , integration testing b\) API validation frameworks in Java\. c\) UI Automations in Selenium & Java in TestNG framework , NightWatch framework d\) Expertise in web servers, network protocols and web security\. e\) Test planning , feature testing , test framework architecting f\) Performance testing with jmeter\. Devops : a\)Jenkins Pipelines b\) CI/CD c\) Git d\) Expertise in AWS e\) Docker Container f\) On Premise infrastructure deployments : SQL Always On Servers , DNS , Active Directories , F5/nginx Load balancers, Identity Management services\.

## Location

Greater Bengaluru Area

## AI stack

claude code

codex

cursor

grok

lovable

## Work experience

Engineering Leader at Uber, Apr 2026 \- Present · 5 mos, Bengaluru

Senior Engineering Manager at Salesforce, Apr 2025 \- Apr 2026 · 1 yr 1 mo, Bengaluru, Modernization of Agentic Systems Observability : Agents First Data Platforms Led a team building Tier0 event and observability platforms processing–10B events/day, designing low\-latency ingestion, routing, and persistence using Kafka and Flink\-based streaming systems\. Drove reliability improvements through back\-pressure control, graceful degradation, and automated capacity scaling, ensuring stable operation under peak traffic and failure scenarios\. Owned end\-to\-end delivery of critical infrastructure components, balancing reliability, performance, and cost efficiency across distributed systems\. Instituted strong operational practices including SLOs, error budgets, proactive capacity planning, and structured incident reviews,contributing to \~$50M annual Cost\-to\-Serve reduction\. Partnered with Product, AI/ML, and SRE teams to translate growthprojections into infrastructure scaling plans and roadmap priorities\. Hired, mentored, and developed a 24\-engineer team, raising the bar onsystem design reviews, production readiness, and engineering craftsmanship; Delivered zero\-downtime modernization for servicessupporting a \~$650M AOV portfolio\.

Engineering Leader at Microsoft, May 2022 \- Apr 2025 · 3 yrs, Bengaluru, Karnataka, India, Led modernizing the Outlook platform, transitioning from a monolith to a microservices architecture, and enhancing API development with gRPC and GraphQL\. These efforts in modernization and high\-performance asynchronous instrumentation from SDK to data lakes have significantly improved our data pipelines, handling petabytes of data with technologies like Spark and Cosmos Compute\.

Team Lead at Salesforce, Feb 2020 \- May 2022 · 2 yrs 4 mos, Bengaluru, Karnataka, Worked on a customer ad\-tech platform on Peta Bytes of Data, known as Customer Data Platform \(aka CDP\) , can help in gaining deep insights by unifying and capturing data to strengthen customer relationships across every touchpoint with a powerful data management platform\. Tech: \- Kafka, Hbase, Spark \- Java , Scala , Python Django , Lua \- AWS cloud services such as EC2, EMR, RDS, DynamoDB and Redshift \- Big data’ data pipelines, architectures and data sets \- Containers \(Docker, Kubernetes\) \- REST, MicroServices, Orchestration \- Distributed systems, SaaS at scale, private/public cloud, \- High\-volume SaaS applications that manage data and traffic at massive Scale \- RDBMS and NoSQL: RDS, Redshift, Dynamo \- Developer tools like git, maven, sbt \- Machine learning

Senior Software Development Engineer at Expedia Group, Apr 2018 \- Mar 2020 · 2 yrs, Implementation of AI bots with GraphQL and Kotlin\. Backend and front end feature design of microsevices on AWS, Implementation of transactional workflows \. E2E development of flight self\-service transactions which includes designing of workflows for completion of complex transactions\. Liaison between Expedia and the GDS technical teams Implemented partners platform for seamless integration with third party chatbots and virtual Agents\. Designed and coded frontend microservices from scratch in GraphQL and Kotlin\. Implementation of fulfillment layer in Java & SpringBoot based microservices for flight exchanges and cancellations\. Implemented a spoofing framework for mimicking the downstream microservices for testing end to end complex workflows\. Creation of monitoring Dashboards in Splunk and Graphana\. Pioneered quality with feature test plans, end to end testing, API testing, performance testing with JMeter, UI testing with Nightwatch, Test Driven Development with Mockito and Mockk, Hands\-on with Reddis, Dockers, AWS, Jenkins CI/CD Tech stack : Spring Boot , REST , GraphQL , Kotlin, Java , JSP, SQL , Jenkins CI/CD , git , maven, gradle , junit , Mockito , Dockers , AWS etc\.

## Education

Master of Computer Applications \- MCA, Mathematics and Computer Science, National Institute of Technology, Tiruchirappalli

PGD in ML& AI, Artificial Intelligence and Machine Learning, International Institute of Information Technology Bangalore

[View the original profile](https://tal.club/meet/ravi-sharma-6)

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