---
title: "Ayush Sharma - Software Engineer in Greater Bengaluru Area | Tal"
description: "Meet Ayush Sharma, Software Engineer | Distributed Systems · Fintech | Java | Spring Boot | Microservices | REST APIs | Redis | Kafka | AWS | IISc Fellow · IIITD 2024 based in Greater Bengaluru Area. AI stack includes claude code, claude, and codex. Explore public work links including github."
image: "https://tal.club/meet/ayush-sharma-4/share-image"
---

# Ayush Sharma on Tal

## Headline

Software Engineer \| Distributed Systems · Fintech \| Java \| Spring Boot \| Microservices \| REST APIs \| Redis \| Kafka \| AWS \| IISc Fellow · IIITD 2024

## About

Backend engineer with 2\+ years building distributed, event\-driven systems at production scale in fintech\. At Jupiter Money, I own and operate 8\+ high\-availability microservices such as fraud detection pipelines, real\-time credit risk detection, and underwriting systems processing 10K\+ events/day at 99\.9% uptime\. I've led end\-to\-end integrations with external financial partners, driven \~30% reduction in cloud infrastructure costs, and cut CI/CD deployment time from 30 minutes to under 5 minutes\. Before Jupiter, I held an IISc Research Fellowship \(one of India's most competitive undergraduate programs\) and built computer vision pipelines for medical imaging research at IIITD\. I work across the full backend stack: Java · Spring Boot · Kafka · Akka Streams · PostgreSQL · DynamoDB · Redis Cloud · AWS · Databricks · Prometheus · Grafana\. I care about building systems that are observable, reliable, and fast\. I own things end\-to\-end: API contract → production rollout → on\-call rotation → RCA\. Open to backend/distributed systems engineering roles at high\-growth product companies\.

## Location

Greater Bengaluru Area

## AI stack

claude code

claude

codex

cursor

gemini

kimi

## Work experience

Software Engineer at Jupiter, Jul 2024 \- Present · 2 yrs 2 mos, \* Designed and scaled distributed microservices and event\-driven backend systems for fraud detection, underwriting, and credit risk workflows processing 10K\+ events/day\. \* Built production\-grade REST APIs and asynchronous data pipelines using Java, Spring Boot, Kafka, Akka Streams, PostgreSQL, DynamoDB, and AWS services\. \* Led end\-to\-end integrations with external financial partners by defining API contracts, handling stakeholder coordination, and managing production rollouts\. \* Engineered high\-throughput risk ingestion pipelines integrating multiple third\-party data sources, reducing false positive rate by \~30%\. \* Migrated large\-scale data workflows from Athena to Databricks and optimized distributed caching infrastructure by transitioning from Elasticsearch to Redis Cloud resulting in cost saving of up to 50% on infrastructure\. \* Optimized AWS infrastructure utilization across production services, contributing to \~30% reduction in cloud infrastructure costs\. \* Owned and maintained 8\+ high\-availability production services with 99\.9% uptime, actively participating in on\-call rotations, incident response, debugging, and RCA processes\.

Software Engineering Intern at Jupiter, Nov 2023 \- Jul 2024 · 9 mos, \* Developed low\-latency real\-time ingestion pipelines using Kafka, Akka Streams, DynamoDB, and PostgreSQL for fraud and risk processing systems\. \* Built scalable backend services, REST APIs, AWS Lambda functions, and Airflow DAGs supporting mission\-critical internal platforms\. \* Improved deployment efficiency by automating CI/CD workflows, reducing deployment time from \~30 minutes to under 5 minutes\. \* Took ownership in production launches, incident management, system debugging, and root cause analysis for distributed backend systems\.

## Education

Bachelor of Technology \- BTech, Computer Science, Indraprastha Institute of Information Technology, Delhi

## Public links

- github: https://github\.com/ayush26sharma

[View the original profile](https://tal.club/meet/ayush-sharma-4)

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