---
title: "Shubham Arora - Member of Technical Staff - 3 in Bengaluru | Tal"
description: "Meet Shubham Arora, Senior Backend Engineer | Java · Python · Go | LLM & Agentic AI Systems | Ex-Amazon | Distributed Systems | Microservices | Cloud Infra @Nutanix based in Bengaluru. AI stack includes antigravity and cursor."
image: "https://tal.club/meet/shubham-arora-1/share-image"
---

# Shubham Arora on Tal

## Headline

Senior Backend Engineer \| Java · Python · Go \| LLM & Agentic AI Systems \| Ex\-Amazon \| Distributed Systems \| Microservices \| Cloud Infra @Nutanix

## About

Software engineer with \~6 years building high\-scale distributed systems across fintech \(JPMorgan Chase\), e\-commerce \(Amazon\), healthtech \(Blink Health\), and cloud/AI infrastructure \(Nutanix\)\. I specialize in backend and platform engineering using Go, Java, and Python, designing microservices, event\-driven architectures, and production\-grade APIs that handle millions of requests per month\. At Amazon, I launched an invoicing validation service processing 10M\+ requests/month for 2M\+ active vendors, with zero production incidents at go\-live\. At Nutanix, I architected the onboarding layer for the Cloud Manager platform, unifying 4 product offerings onto a single multi\-provider integration and cutting roughly 30% of costs for enterprise customers\. These days I'm deeply focused on GenAI and agentic systems\. I designed an Agentic AI skill at Nutanix that automated bug root\-cause analysis, reduced on\-call team size by 66%, and improved engineering productivity 10x\. My stack includes LLMs, RAG, Model Context Protocol \(MCP\), and prompt engineering, all deployed in production workflows\. Earlier at JPMorgan, I built a Rasa\-powered conversational AI assistant integrated with core banking APIs, deflecting 60%\+ of customer support queries across 80M\+ consumers\. It's one of my earliest and most impactful AI systems\. Technical toolkit: Go, Java, Python, Spring Boot, Flask, Next\.js, React, RAG, LLMs, MCP, Prompt Engineering, Kubernetes, Docker, AWS, PostgreSQL, DynamoDB, Elasticsearch, Microservices, CI/CD Currently open to Senior Software Engineer, Staff Engineer, and AI/Backend Engineer roles\. Immediately available\. Bangalore, Hyderabad, Pune, Noida, Gurugram, Remote\.

## Location

Bengaluru

## AI stack

antigravity

cursor

## Work experience

Member of Technical Staff \- 3 at Nutanix, Mar 2024 \- Present · 2 yrs 6 mos, Bengaluru, \- Architected the onboarding service for Nutanix Cloud Manager \(NCM\), unifying 4 Nutanix offerings onto a single multi\-provider integration layer — reducing per\-product overhead and cutting \~30% costs for all enterprise customers\. \- Designed and deployed an Agentic AI skill using LLMs, RAG, and Model Context Protocol \(MCP\) to automate bug root\-cause analysis — reducing on\-call team size by 66% and improving engineering productivity 10x\. \- Engineered a NATS\-based async notification service processing 75K\+ events across 25K concurrent workflows, reducing inter\-service coupling and enabling independent downstream scaling without shared failure domains\. Stack: Go, Python, PostgreSQL, LLMs, RAG, MCP, Kubernetes, Docker, AWS

Software Engineer at Blink Health, Mar 2023 \- Mar 2024 · 1 yr 1 mo, Bengaluru, \- Spearheaded a full\-stack pharmacy partner portal processing 9M\+ prescription claims/day across 20K pharmacy partners — scaled from pilot to production in 6 months through self\-serve prescription workflows\. \- Built a robust Python \(Flask/Django\) backend and React/Next\.js frontend, integrated with Blink's core prescription management APIs and PostgreSQL on AWS\. \- Enabled pharmacies of all sizes to onboard and operate independently without dedicated IT support, significantly reducing customer success overhead\. Stack: Python, React\.js, TypeScript, Next\.js, Material UI, Tailwind, PostgreSQL, AWS

Software Development Engineer at Amazon, Oct 2021 \- Mar 2023 · 1 yr 6 mos, Bengaluru, \- Designed and launched an invoicing validation service \(10M\+ req/month\) following a data\-source migration — delivered with zero production incidents at go\-live, ensuring complete data integrity across 2M\+ active vendors\. \- Built a shared mock\-response library adopted across all team services, enabling downstream API simulation during outages and raising deployment success rate by 30%\. \- Owned a third\-party vendor invoice reconciliation system processing billions in invoice value, built on Java, Spring Framework, AWS, and DynamoDB\. Stack: Java, Spring Framework, AWS, DynamoDB, AutoML, Microservices, HLD, LLD

Software Engineer at JPMorgan Chase & Co\., Aug 2020 \- Oct 2021 · 1 yr 3 mos, Bengaluru, \- Implemented a Rasa\-powered conversational AI assistant in Python, deployed across Chase's mobile and web channels — integrated with core banking APIs for real\-time query resolution, deflecting 60%\+ of customer support queries across 80M\+ consumers\. \- Built a trade messaging system processing 1\.8T\+ daily pipeline events, enabling zero\-downtime migration of relational DB records to JSON/XML across live downstream services\. Stack: Java, Spring Boot, Python, JUnit, MySQL, Elasticsearch, Jenkins CI/CD, Microservices

Summer Intern at JPMorgan Chase & Co\., May 2019 \- Jul 2019 · 3 mos, Bengaluru, Karnataka, India, Returned to the firm with a Pre Placement Offer after having an impactful stint with the Investment Banking Division\.

## Education

Bachelor of Technology \- BTech, Computer Science, Malaviya National Institute of Technology Jaipur

[View the original profile](https://tal.club/meet/shubham-arora-1)

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