---
title: "Ravi Chandra Enaganti - Principal Engineer in Bengaluru | Tal"
description: "Meet Ravi Chandra Enaganti, Principal Engineer at Atlassian based in Bengaluru. AI stack includes antigravity, claude, and cursor. Explore public work links including github and leetcode."
image: "https://tal.club/meet/ravi-chandra-enaganti/share-image"
---

# Ravi Chandra Enaganti on Tal

## Headline

Principal Engineer at Atlassian

## About

Seasoned Software Engineer with over 17 years of experience designing and delivering scalable full\-stack and backend, Gen AI solutions across CRM, e\-commerce, security, travel, and entertainment domains\. Expertise in architecting microservices, data pipelines and secure systems\. Proficient in Java, Python, C\+\+, and modern frameworks like Spring and Spark\. Adept at leading cross\-functional teams, mentoring teams of 15\+ engineers, and driving product development from concept to deployment\. Passionate about leveraging data structures, algorithms, and agile methodologies to solve complex challenges\.

## Location

Bengaluru

## AI stack

antigravity

claude

cursor

gemini

grok

openai

## Work experience

Principal Engineer at Atlassian, Sep 2025 \- Mar 2026 · 7 mos, Distributed Rate limiting for Atlassian Cloud APIs \(10B calls per day\), Backend, Data Engineering

Software Architect at Magnit, Mar 2023 \- Sep 2025 · 2 yrs 7 mos, Bengaluru, Karnataka, India

Principal Engineer at Arcesium, Jan 2021 \- Feb 2023 · 2 yrs 2 mos, Bengaluru, Karnataka, India

Staff Engineer at Walmart Labs, Aug 2018 \- Jan 2021 · 2 yrs 6 mos, Bengaluru, Karnataka, India, Walmart Ads Team

Staff Software Engineer at TiVo, Nov 2015 \- Aug 2018 · 2 yrs 10 mos, Bangalore Area, India, I worked on Rovi Metadata services which exposes Media meta data through APIs\. This Metada data services daily processes Tera bytes of data using Hadoop to make latest entertainment data available to customers\. Technologies include SQL, Shell scripting, Hadoop, Mapreduce, Mongo DB, Java web services\. Working on Search and Recommendation system\. This is built using Solr internal search engine\. The challenges include designing the scalable and fast systems\.

## Education

M\.Tech, Computer Science, National Institute of Technology warangal

B\.Tech, Computer Science, Jawaharlal Nehru Technological University

## Public links

- github: https://github\.com/ravichandrae
- leetcode: https://leetcode\.com/ravichandrae

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

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