Headline

Software Engineer II at JPMorgan Chase | Backend & Distributed Systems | Java, Spring Boot, Kafka | High-Scale Data Platforms | PostgreSQL, DynamoDB | AWS | System Design

About

Building high-scale backend systems that power thousands of engineers and process tens of thousands of requests per second. With 3+ years transforming large-scale backend platforms and distributed systems in the software engineering industry, I've helped enterprise engineering teams build high-throughput, low-latency infrastructure that supports mission-critical developer workflows. My expertise in Java, distributed systems, event-driven architectures, and data platforms has resulted in systems achieving 50K+ TPS, sub-millisecond read latency, and supporting 150K+ daily CI/CD executions. Career journey From starting as a software engineering intern building cloud platform APIs to now working as a Software Engineer II at JPMorgan Chase, I’ve focused on designing scalable backend platforms and improving developer infrastructure across enterprise systems. Notable achievements include: • Architected scalable PostgreSQL infrastructure with partitioning and sharding, achieving sub-ms reads and <10ms writes at 50K+ TPS • Built Kafka-based event pipelines supporting 150K+ daily CI/CD builds and real-time system synchronization • Designed high-performance DynamoDB data models, reducing storage cost by 86% while maintaining 99.99% availability What I bring I’m passionate about building reliable distributed systems and high-performance data platforms that operate at enterprise scale. I help organizations design scalable backend architecture, optimize system performance, and build event-driven platforms using modern cloud and data technologies. Let’s connect if you're interested in distributed systems, backend architecture, scalable infrastructure, or engineering platforms.

Location

Bengaluru

AI stack

claude code

codex

deepseek

github copilot

openai

perplexity

Work experience

Software Engineer II at JPMorganChase, Jan 2026 - Present · 8 mos, Led development of a firm-wide governance platform integrating enterprise data sources and CI/CD pipelines to enforce security compliance across internal applications. Designed scalable PostgreSQL infrastructure using partitioning, horizontal sharding, and read-write routing, achieving sub-millisecond read latency, <10 ms write latency, and 50K+ TPS. Built high-performance NoSQL data layer using DynamoDB with optimized key design, GSI/LSI indexing, and TTL lifecycle policies, reducing storage costs by 86% while improving throughput and maintaining 99.99% availability. Developed real-time event-driven pipelines using Kafka and webhooks to synchronize systems and support 150K+ daily CI/CD build executions. Enhanced the JPMC Enterprise Toolchain release management platform used by 50K+ developers, improving automation workflows and system performance by 10×.

Software Engineer at JPMorganChase, Feb 2024 - Dec 2025 · 1 yr 11 mos, Enhanced enterprise release management and evidence ingestion services used across the firm’s internal developer platform. Designed asynchronous workflows and scheduled processing systems to automate large-scale request orchestration and system synchronization. Improved system performance and reliability through automation pipelines and backend optimization.

Software Engineer Analyst at JPMorganChase, Jun 2023 - Jan 2024 · 8 mos, JPMC Global Hackathon: 1st Place among 147 teams for implementing a full-stack digital will management system, featuring automated asset allocation and leveraging regression and classification Machine Learning Models for data-driven estate planning.

Education

Bachelor of Technology - BTech, Computer Science, Vellore Institute of Technology

Public links

github: https://github.com/shivam18213

leetcode: https://leetcode.com/sb18213