Lead Software Engineer- Java, Equities Derivatives Front Office Flow Technology

Job Description: As a Lead Software Engineer at JPMorganChase within the Equities Derivatives Front Office Flow 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. Job responsibilities - Work with subject matter experts to develop solutions that meet business the business requirements. - Develop Java services within a distributed hybrid-cloud system that supports end-to-end derivative product processing - 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. - Design and build AI agents and agentic pipelines to automate software development, testing, and operational workflows. - Support integration of AI capabilities. - Partner with front-office stakeholders to deliver scalable technology solutions for Equities Derivatives trading workflows. - Build a stable, efficient, scalable cloud based solution which will be deployed globally. - Design and code a significant amount of a robust, secure and efficient API to persist / retrieve data and implement the business logic - Build JavaScript and C# front-end desktop applications to interface with the Java services - Participation in code reviews and sharing of knowledge with other members of the team. Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 5+ years applied experience. - 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 - Strong OO design skills with good knowledge of object modelling and design patterns - Experience with development, deployment and maintenance of commercial service oriented application(s) - Disciplined approach to code management, testing and deployment practices and high quality delivery - Understanding of how to effectively utilize unit testing - Great problem solving skills for problems with a mathematical/technological background - Ability to work in a fast paced team oriented environment - Ability to work effectively within a global team (spread across North America, EMEA, APAC etc.) while influencing and contributing towards the development of the global platform - Experience of full project lifecycle, breaking requirements down into technical deliverables and effort estimation Preferred qualifications, capabilities, and skills - Knowledge of Java. Experience with AWS, Kubernetes, Docker or other Cloud technologies - Business knowledge of simple derivative products (vanilla options, variance swaps, strategies involving vanillas): how these are used, how to price them, how to evaluate risk exposure using Greeks - Exposure to NoSQL systems (Cassandra, MongoDB .etc.) - Working knowledge of continuous integration and deployment processes