Java Lead Software Engineer - Trading Platform

• Job Identification

• Job Category Software Engineering

• Business Unit Asset & Wealth Management

• Posting Date 06/17/2026, 07:12 PM

• Locations 575 Washington Blvd, Jersey City, NJ, 07310, US

• Job Schedule Full time

• Base Pay/Salary Jersey City,NJ $-$

As a Lead Software Engineer at JPMorgan

Chase within the Asset & Wealth Management technology team, 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.

• 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.

• Set engineering standards and reference architectures across Java, React, Kafka, Oracle, Aurora, Airflow, and Spark. Guide deployments to both public and private cloud environments.

• 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 5+ years applied experience

• Hands‑on practical experience delivering system design, application development, testing, and operational stability

• Advanced in technologies and frameworks—whether it’s Java/Spring, JavaScript/Type Script, SQL, or Kafka. You’re hands‑on with cloud platforms (internal or AWS) and eager to experiment with modern development stacks.

• 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

• Proficient in all aspects of the Software Development Life Cycle

• 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 Practical cloud native experience

• Nice to have any banking or buy‑side experience (portfolio management, OMS, trade lifecycle/middle…