---
title: "Jitender Singh Chhapola - Senior Software Engineer in Bengaluru | Tal"
description: "Meet Jitender Singh Chhapola, Senior Software Engineer @ Myntra | Distributed Systems | Kubernetes & Microservices | Scalable Systems Handling 8M+ RPM | GenAI (RAG, Agents) based in Bengaluru. AI stack includes antigravity, claude, and codex. Explore public work links including github and leetcode."
image: "https://tal.club/meet/jitender-singh-chhapola/share-image"
---

# Jitender Singh Chhapola on Tal

## Headline

Senior Software Engineer @ Myntra \| Distributed Systems \| Kubernetes & Microservices \| Scalable Systems Handling 8M\+ RPM \| GenAI \(RAG, Agents\)

## About

I build backend systems that hold up at scale\. \~5 years across Myntra and AJIO — working on distributed systems, microservices, and infrastructure for high\-traffic e\-commerce platforms handling millions of requests per minute\. Some of what I've shipped: · Cut API latency from 900ms → 250ms · Freed 178\+ CPU cores through Kubernetes optimization · Migrated 27 microservices to new environment with zero business disruption · Modernized a 15\-year\-old monolith — reduced build time by 91% · Built systems supporting 10K\+ sellers and ₹40Cr\+ in revenue My core focus: Distributed Systems, Microservices, System Design \(HLD/LLD\), and high\-performance backend engineering with Java, Spring Boot, Kafka, and Kubernetes\. More recently I've been exploring Agentic AI — building multi\-agent workflows using Microsoft AutoGen for automated root cause analysis, RAG\-based codebase understanding, and intelligent system documentation\. It's where distributed systems thinking meets LLMs, and it's genuinely interesting work\. Looking to join a team working on large\-scale infrastructure or AI\-driven engineering platforms — where the problems are real and the systems actually matter\. Open to senior backend roles\. 📩 niteshjitender@gmail\.com \| 🔗 jitendersinghchhapola\.com

## Location

Bengaluru

## AI stack

antigravity

claude

codex

cursor

mcp

ChatGPT

## Work experience

Senior Software Engineer at Myntra, Dec 2024 \- Present · 1 yr 9 mos, Bangalore Urban, Karnataka, India, Reduced critical API latency from 900ms → 250ms by optimizing service architecture, request flow, and backend bottlenecks, significantly improving system responsiveness at scale Freed 178\+ CPU cores through Kubernetes resource optimization and workload tuning, reducing infrastructure cost Led zero\-downtime Redis migration for P0/P1 services handling 3M\+ RPM \(8M peak traffic\), ensuring high availability and operational stability Modernized a 15\-year\-old monolith to Springboot, serving \~85% platform traffic and 55\+ clients f, reducing build time by 91% and significantly improving developer productivity Improved product discoverability across 21\.8M\+ catalog items, enhancing search experience and user engagement Designed and implemented Agentic AI workflows using Microsoft AutoGen, RAG, and multi\-agent orchestration for automated RCA, intelligent codebase understanding, and engineering documentation generation

Software Developer at AJIO\.com, Mar 2023 \- Dec 2024 · 1 yr 10 mos, Bengaluru, Karnataka, India, Contributed to scaling AjioAds microservice by containerizing it with Docker and deploying on Kubernetes, supporting 10K\+ sellers and ₹40Cr\+ revenue Increased brand engagement by \~30% across 400\+ brands by developing social features Ajiogram\(posts & stories\) using Spring Boot & MongoDB Boosted ad sales by 30% by implementing a bulk campaign upload system for sellers Designed and led LLD & HLD of a multi\-tenant approval workflow \(state machine\), improving efficiency and scalability of seller approvals Revamped seller onboarding by leading cross\-team microservices integration \(3 teams\) using Node\.js, TypeScript, Kafka, and MongoDB, reducing onboarding time and enabling scalable multi\-tenant support

Full Stack Software Developer at Interra Systems, Jul 2021 \- Mar 2023 · 1 yr 9 mos, Noida, Built end\-to\-end full\-stack components using Spring Boot & Angular, integrating PostgreSQL, Kafka, and Elasticsearch to support \~1200 QPS for script execution workflows Designed and implemented real\-time alerting systems handling 1500\+ QPS, integrating with Slack, SNMP, and MS Teams via webhooks, improving monitoring flexibility across 12\+ clients Improved user experience by developing customer\-facing Angular components, enhancing usability and interface responsiveness Managed Linux\-based deployments on client systems, resolving compatibility issues and handling RPM build and installation

Artificial Intelligence Software Developer at Cerebry, Jan 2020 \- Jun 2020 · 6 mos, Faridabad, Haryana, India, Question Generation: Designed automated question set generation using Prolog, Python, and CHR\. Latex Writing Automation: Created a Python and Selenium script reducing latex writing effort by 40%\. Error Detection: Created a Python, Selenium script to detect and display errors in final outputs efficiently\.

## Education

Bachelor of Technology \- BTech, Information Technology, Indian Institute of Information Technology\(IIIT\), Sonepat

12th, Non\-Medical \+ Computer Science, kendriya vidyalaya

## Public links

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

[View the original profile](https://tal.club/meet/jitender-singh-chhapola)

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