---
title: "Aditya Narayan - SDE 1 in Bengaluru | Tal"
description: "Meet Aditya Narayan, Backend Engineer @ Flipkart | Distributed systems, Kafka, Kubernetes | Java · Spring Boot · Go based in Bengaluru. AI stack includes claude code and cursor. Explore public work links including adityanarayn.github.io."
image: "https://tal.club/meet/aditya-narayan-3/share-image"
---

# Aditya Narayan on Tal

## Headline

Backend Engineer @ Flipkart \| Distributed systems, Kafka, Kubernetes \| Java · Spring Boot · Go

## About

Backend engineer with \~4 years of experience building and operating production services at scale\. At Flipkart , I work on service migrations and shared platform libraries used across a large microservice ecosystem — including load\-test request isolation, distributed rate limiting, attribute\-based canary routing, and JVM performance investigations\. Tech: Java 17 · Spring Boot · Kafka · Redis · PostgreSQL · Kubernetes · Prometheus · Grafana Portfolio: https://adityanarayn\.github\.io GitHub: https://github\.com/Adityanarayan

## Location

Bengaluru

## AI stack

claude code

cursor

## Work experience

SDE 1 at Flipkart, Jul 2025 \- Present · 1 yr 3 mos, Bengaluru, Karnataka, India, • Owned backend components of a Returns Service migration from monolith to domain\-driven microservices, defining Kafka and TiDB integration contracts for a zero\-impact pre\-production rollout\. • Built a load\-test request\-isolation library with end\-to\-end HTTP\-to\-event\-streaming propagation across 20\+ backend services, keeping performance\-test traffic out of production consumers\. • Resolved Kubernetes OOMKills blocking performance testing by analyzing 1,000\+ JVM thread dumps; reduced per\-pool thread caps from 100 to 15, cut pod thread count by 76% \(1,100 → 265\), and doubled sustained throughput from 75 to 150 QPS\. • Created an annotation\-driven distributed rate\-limiting library \(Bucket4j, Redis\) with shadow\-mode rollout and per\-warehouse QPS caps on critical APIs\. • Led adoption of an attribute\-based canary\-routing platform across 40\+ microservices using a JVM agent on Kubernetes, with dynamically configured routing rules for targeted production rollouts\.

Project Engineer at Wipro, May 2022 \- Jul 2025 · 3 yrs 3 mos, Bengaluru, Karnataka, India, As a Project Engineer, I implemented a real\-time credit scoring system using SpringBoot, Kafka and PostgreSQL, improving decision\-making efficiency by 40% for over 5,000 users\. I collaborated with cross\-functional teams to develop REST APIs, enhancing user experience and increasing response times by 25%\. Utilizing Redis for data caching, I reduced database load by 40% and contributed to a microservices architecture, decreasing deployment time by 30% and maintenance efforts by 20%\.

## Education

Bachelor of Technology, Electrical, Electronics and Communications Engineering, PES University

Delhi public school

## Public links

- adityanarayn\.github\.io: https://adityanarayn\.github\.io/

[View the original profile](https://tal.club/meet/aditya-narayan-3)

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