Senior Software Engineer - Asset Management Research & AI

JPMorganChase; Jersey City (NJ); On-site; USD 120,000 - 190,000; Full time

Job summary

JPMorganChase is seeking a Software Engineer III in Asset Management Technology to design and deliver scalable, secure software solutions within a fast‑paced agile team. You will contribute across multiple tech areas, applying AI-assisted tools, and ensure high-quality production code with strong architectural discipline.

The role emphasizes collaboration, continuous improvement, and data‑driven insights to optimize software applications and system design.

Qualifications

• 3+ years formal software engineering experience.
• Experience in system design, development, testing and operational stability.
• Proficiency with Java; front‑end experience with React/TypeScript; knowledge of Kafka and AWS.

Responsibilities

• Executes software solutions, design, development, and troubleshooting with non‑routine approaches.
• Creates secure, high‑quality production code and maintains algorithms.
• Leverages enterprise‑authorized AI coding assist tools to improve code quality, delivery speed, and productivity with peer review.
• Applies SDLC tools and AI‑assisted development to improve automation and value.
• Produces architecture and design artifacts for complex applications and ensures design constraints are met.
• Gathers and visualizes data to drive continuous software improvements.
• Identifies hidden data patterns to improve coding hygiene and system architecture.

Skills

Java

React

Kafka

AWS

CI/CD

Security

AI‑assisted development

TypeScript

Tools

AWS Cloud Services

CI/CD Toolchain

Enterprise AI tools

Job description

JPMorganChase is seeking a Software Engineer III in Asset Management Technology to design and deliver scalable, secure software solutions within a fast‑paced agile team. You will contribute across multiple tech areas, applying AI-assisted tools, and ensure high-quality production code with strong architectural discipline.

The role emphasizes collaboration, continuous improvement, and data‑driven insights to optimize software applications and system design.