Lead Software Engineer

As a Lead Software Engineer at JPMorganChase within the Asset & Wealth Management International Private Bank Derivatives 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

• Execute creative software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develop secure high-quality production code, and review and debug code written by others
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Lead 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
• Lead 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
• Drive 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
• Apply 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
• Required qualifications, capabilities, and skills

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Advanced proficiency in one or more programming languages
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud-native experience
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices

• Full-stack development experience with Java, Spring Framework, and React JS (including Redux)
• Experience with event-driven architectures and messaging platforms such as Kafka and IBM MQ
• Proficiency in both SQL and NoSQL databases
• Experience working with private and public cloud environments
• Familiarity with Agile and Kanban methodologies
• Exposure to AI/ML concepts and their application within engineering workflows