---
title: "Saiyam Verma - Java Software Engineer in Bengaluru | Tal"
description: "Meet Saiyam Verma, Java Backend Engineer @ JPMorgan Chase | Spring Boot · Kafka · Kubernetes | Fintech & Distributed Systems based in Bengaluru. AI stack includes opencode and claudecode."
image: "https://tal.club/meet/saiyam-verma/share-image"
---

# Saiyam Verma on Tal

## Headline

Java Backend Engineer @ JPMorgan Chase \| Spring Boot · Kafka · Kubernetes \| Fintech & Distributed Systems

## About

I like building systems that don't break when traffic spikes — the kind that handle 10x load without anyone noticing\. At JPMorgan I work on high\-throughput financial pipelines where reliability isn't optional\. Experienced in Java, Spring Boot, Kafka, and reactive programming, with a focus on distributed systems and real\-time data processing\. Reduced a high\-traffic dashboard load time by 90%\+ \(1\.5s → 350ms\), improved data quality from 95% to 99\.99% through automated validation pipelines, and cut infrastructure setup time from hours to under 10 minutes using Kubernetes and CI/CD automation\. Open to senior backend engineering roles in fintech or distributed systems — feel free to reach out at saiyamverma722@gmail\.com

## Location

Bengaluru

## AI stack

opencode

claudecode

## Work experience

Java Software Engineer at JPMorganChase, Jul 2024 \- Present · 2 yrs 2 mos, • Built scalable backend systems using Java, Spring Boot, Kafka, and reactive programming for high\-throughput financial applications • Optimized a high\-traffic internal dashboard, reducing load time by 80%\+ \(1\.5s → <350ms\) using Kafka, Cassandra, AWS, and backend optimizations • Designed and implemented data validation and monitoring pipelines, improving data quality from 95% to 99\.99% with automated fallback mechanisms • Automated infrastructure provisioning \(databases, Kubernetes clusters, Kafka topics\) and CI/CD workflows, reducing setup and deployment time from hours to <10 minutes • Migrated legacy SOAP\-based services to RESTful APIs, improving system scalability, maintainability, and interoperability • Identified and resolved performance bottlenecks through production\-like testing, improving system stability and reducing failure rates

Java Software Engineer at JPMorganChase, Jan 2024 \- Jun 2024 · 6 mos, • Migrated 3 enterprise apps from Java 11 to 17, cutting GC overhead by \~20% and unblocking 4 stalled security patches • Reduced unit test flakiness from \~12% to under 2% across 5 service modules by refactoring with Mockito • Cut average build time by 35% after upgrading Maven/Gradle configs and resolving dependency conflicts • Implemented modern Java features \(sealed classes, pattern matching, switch expressions\) for cleaner and more maintainable code • Decomposed a critical service from a large\-scale monolithic platform into a Spring Boot microservice serving 110\+ million global users and supporting peak traffic of 8,000 TPS\.

Software Engineer Intern at JPMorgan Chase & Co\., Jun 2023 \- Jul 2023 · 2 mos, Bengaluru, • Reduced application deployment time by 80%\+ through continuous deployment and configuration optimization • Collaborated with cross\-functional teams to design and implement CI/CD pipelines for streamlined deployment workflows • Automated deployment processes using Jenkins and scripting, reducing manual effort and improving efficiency • Worked with Kubernetes \(GCP\) to manage containerized applications and optimize deployment processes

## Education

Bachelor's degree, Electronics and Computer Engineering, Thapar Institute of Engineering & Technology

CBSE 12 \- 95%, Army Public School \(APS\)

[View the original profile](https://tal.club/meet/saiyam-verma)

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