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)