Senior Full Stack Engineer - JavaScript/Java/Cloud

PRASHIS RAGHUWANSHI

Full Stack Developer — JavaScript · React · Java / Spring Boot · PostgreSQL · MongoDB · AWS

+91-998******* · **********@*****.*** · github.com/prashish14 · Open to US-overlapping hours · Remote-first PROFESSIONAL SUMMARY

Full Stack Senior Engineer with 8+ years designing and scaling distributed systems at JPMorgan Chase, Walmart, and M&T Bank. Hands-on expert in JavaScript, PostgreSQL, MongoDB, and AWS (Lambda, EC2, ECS, Fargate, Docker) building APIs and event-driven pipelines handling millions of daily transactions. Proven track record owning production reliability, reducing tech debt, and driving team velocity through automation, PR reviews, and mentorship. Comfortable operating independently in async, remote environments with US-team overlap. CORE TECHNICAL SKILLS

Backend: JavaScript, Java/Spring Boot, Python, REST Databases: PostgreSQL, MongoDB, Oracle SQL, Query Optimisation

AWS: Lambda, EC2, ECS, EKS, Fargate, S3, RDS DevOps: Docker, Kubernetes, Jenkins, GitHub Actions, Terraform

Async / Messaging: Apache Kafka, Event-driven Architecture Frontend: React JS, TypeScript, Angular, React Native API Design: RESTful APIs, GraphQL, Async Systems,

Schema Design

Practices: System Design, CI/CD, TDD, Agile, PR Reviews PROFESSIONAL EXPERIENCE

Senior Software Engineer Jul 2021 – Present

JPMorgan Chase & Co. · Columbus, USA

Project: Enterprise document management platform responsible for scanning, verification, processing and printing of financial documents for millions of JPMorgan Chase bank customers across North America.

• Architected and owned JavaScript and Java/Spring Boot microservices powering customer-facing financial platforms, handling sustained traffic of 5M+ daily API requests with 99.95% uptime SLA.

• Designed and tuned PostgreSQL schemas and query patterns for high-throughput transactional workloads — reduced p99 query latency by 35% through indexing strategies, connection pooling, and query plan analysis.

• Built and maintained RESTful APIs integrated with MongoDB for document storage, ensuring clean schema evolution and backward-compatible contracts across 10+ consumer teams.

• Executed large-scale on-prem to AWS cloud migration — containerised services via Docker/Kubernetes, deployed to ECS/Fargate and Lambda, cutting infra costs by 28% and improving fault tolerance.

• Designed distributed event-driven pipelines using Apache Kafka for asynchronous processing at scale, decoupling 6 downstream services and eliminating synchronous bottlenecks.

• Owned production incident response end-to-end: triaged critical bugs, coordinated with support, deployed hot-fixes within SLA windows, and authored post-mortems.

• Led systematic refactoring of legacy codebases — introduced unit, integration, and E2E test coverage from <20% to >80%, improving maintainability and CI gate reliability.

• Served as Tech Lead for a squad of 5 full-stack engineers — assigned tasks, ran daily stand-ups, unblocked team members, and drove sprint delivery; raised team velocity by 35% over two quarters.

• Mentored and coached 4 junior and mid-level engineers through structured 1:1s, code reviews, and pair programming sessions.

• Built GitHub Actions and Jenkins CI/CD pipelines — automated build, test, deploy cycles reducing release lead time by 60%.

• Partnered with product and design teams to scope API contracts, translate business requirements into backend deliverables, and document engineering runbooks.

Software Engineer III Nov 2019 – Jun 2021

Walmart Global Tech · Arkansas, USA

Project: Walmart Grocery App — added critical consumer-facing functionality including pick-from-store, add-to-cart, real-time inventory availability, and checkout workflows serving millions of Walmart shoppers.

• Built and maintained full-stack features on Java/Spring Boot backends and React frontends for large-scale retail platforms processing millions of daily transactions.

• Designed and optimised PostgreSQL and MongoDB data models for product catalog and inventory services, improving read throughput by 40% through denormalisation and caching strategies.

• Implemented Kafka-based event streaming workflows for order state transitions, improving system decoupling and enabling reliable async processing at Black Friday scale.

• Improved CI/CD automation via Jenkins pipelines, reducing deployment failures and enabling faster iteration cycles across the engineering team.

Software Engineer 2018 – 2019

M&T; Bank · New York, USA

Project: Account Opening Platform — digital application responsible for onboarding approximately 3 million M&T; Bank customers, covering identity verification, KYC compliance, and account provisioning.

• Developed Spring Boot microservices for core banking operations deployed on AWS (EC2, ECS) — built RESTful APIs consumed by both internal dashboards and external partners.

• Designed real-time data pipelines using Apache Kafka for transaction processing and event streaming, handling 1M+ daily banking events with guaranteed delivery.

• Optimised PostgreSQL query performance for reporting workloads — wrote complex analytical queries, built indices, and reduced report generation time from minutes to seconds.

• Built and maintained TypeScript and React JS frontend components for internal banking dashboards, ensuring tight client-server API contract adherence.

Software Engineer 2016 – 2018

JC Penny · Texas, USA

Project: JC Penny e-commerce platform — added critical functionality and redesigned the legacy website to a modern tech stack using React, improving performance and user experience for millions of online shoppers.

• Developed responsive React JS e-commerce components serving millions of customers; optimised frontend performance, reducing page load times by 40% via code splitting and lazy loading.

• Integrated RESTful APIs for product catalog, inventory management, and checkout workflows — collaborated closely with backend teams to align API contracts and error handling.

• Gained hands-on exposure to JavaScript backend services and MongoDB document store patterns in a high-traffic retail environment.

EDUCATION

M.S. Electrical and Computer Engineering 2016

San Francisco State University, California

B.E. Electronics Engineering 2014

Government Engineering College, India

Contact this candidate