Software Engineer III - Wealth Management Tech | Investment Platforms & Systems

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer in the Asset and Wealth Management Technology group to drive design, development and delivery of trusted technology products. You will contribute across multiple areas, including AI-assisted practices, secure coding, and scalable architectures.

You will collaborate with stakeholders, lead complex distributed systems work, and champion modern engineering standards to ensure performance and reliability in a financial services context.

Qualifications

• Formal training or certification in software engineering with 3+ years of applied experience.
• Experience delivering distributed system design, production code, testing and operations.
• Strong in Java and cloud native AWS development.
• Knowledge of Spring Boot and Kafka.
• Experience collaborating with technology/business stakeholders.
• Familiarity with AI-assisted development tools and secure coding practices.
• Understanding of agile, CI/CD, resilience and security in financial services.

Responsibilities

• Executes creative software solutions and develops production-ready code.
• Reviews and debugs code, ensuring high quality and security.
• Promotes enterprise AI-assisted engineering practices to the team.
• Leverages SDLC tools to improve automation and value delivery.
• Identifies recurring issues and drives remediation for stability.
• Leads evaluation with vendors and internal teams on architecture and applicability.

Skills

Java

CI/CD

Agile methodologies

AI-assisted engineering practices

Cloud native (AWS)

Spring Boot

Kafka

Stakeholder communication

Security & resiliency

Distributed systems

Tools

AWS

Spring Boot

Kafka

Python

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within Asset and Wealth Management Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Hands-on practical experience delivering complex distributed system design, application development, testing, and operational stability
• Advanced in one or more programming language(s) - Java
• Practical cloud native experience - designing, building and deploying applications on Amazon Web Services (AWS)
• Advanced knowledge of Spring Boot and Kafka
• Experience in direct interactions with technology/business stakeholders
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

• Basic/Intermediate knowledge of Python
• Experience with either Snowflake or DataBricks