Lead Software Engineer Java, Distributed Systems, AIML

Be an integral part of an agile team thats constantly pushing the envelope to enhance build and deliver top-notch technology products.

As a Lead Software Engineer at JPMorganChase within Commercial & Investment Banks Equity Derivatives Technology Team youare 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 firms 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 break down technical problems
• Develops secure high-quality production code and reviews and debugs code written by others
• 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• 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.
• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills

• Bachelors degree in computer science Engineering Mathematics or other related disciplines
• 5 years of hands-on experience in Java development
• Hands-on experience with distributed systems (scalability resiliency low-latency design observability)
• Familiarity or practical exposure to AI/ML-enabled solutions (e.g. applying AI to workflow automation decision support or operational efficiency)
• Excellent problem-solving skills with the ability to work through ambiguity and diagnose issues end-to-end
• Clear proactive communication and strong collaboration across engineering and business partners
• Advanced understanding of agile methodologies such as CI/CD Application Resiliency and Security
• 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

• 8 years of experience in Java Development
• Good knowledge of Equity Derivatives Products and Pricing
• Experience in Python programming language