Lead Software Engineer-Java, Microservices

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 integrated in the end to end processing of the derivative products.
• 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 with Java services and front-end trading applications.
• 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
• Experience with project management. Experience with service oriented platforms, and a good understanding of current generation open source frameworks