Lead Software Engineer - JAVA - Equities - Vice President

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 JPMorgan Chase within the Equity Derivatives Group you will join our agile team creating, transforming, and supporting our trusted market-leading technology products using modern technologies and industry best practices. You will join and collaborate with a global team of technologists at all stages software development pipeline creating high quality software solutions in an environment that encourages curiosity and innovation, grows talent, and applies and sharpens your multi-faceted software engineering skillset.

With continuous learning, inclusivity, and developer experience a focus of our work culture you will work with closely with some of the best local and global software engineers, production management teams, traders, sales, Quants and product owners as well as find opportunities to enhance your skillset and interests by taking advantage of internal and external training opportunities, finding mentors, joining interest groups and communities, and learning from leaders at the firm and industry.

Launch your career at JPMorgan as a software engineer for the Equity Derivatives Group joining a team tasked with creating and supporting innovative software solutions for our sales and trading platform that advance our industry-leading Equity Derivatives business, supporting our clients in a first-class way.

Job responsibilities

Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems

Collaborate with engineers, product owners, traders, sales and Quants to develop best in class software solutions for our Equity Derivatives platform

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.

Work within a team of software engineers analyzing and implementing business requirements within an Agile/Scrum environment

Work closely with production management applying technical knowledge to support business processes, changes, and end users

Lead and contribute to communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Add to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience.

Experience with Java/JVM and the Java/JVM ecosystem, Spring boot framework

Experience of Type Script/React development

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

Experience with object-oriented design and micro-service architectures and best practices

Proficient in all aspects of the Software Development Life Cycle Good understanding of software design patterns and clean code practices

Strong written and oral communication skills

Proficiency in automation and continuous delivery methods

Advanced understanding of agile methodologies, CI/CD,…