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