Lead Software Engineer - Java​/

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As a Lead Software Engineer at JPMorgan

Chase within the Commercial & Investment Bank, 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.

• 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

• Formal training or certification on Software Engineering concepts and 5+ years applied experience
• Proficient in coding in Java, Spring Boot, JPA, SQL, REST
• Experience with event driven architecture using Kafka
• Experience building RESTful backend applications (Spring Boot) and solid relational enterprise databases (Oracle) experience
• Experience with version control systems, such as Git.
• Strong knowledge of CI/CD e.g. Jenkins
• Hands-on practical experience in system design, application development, testing and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• 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
• Solid understanding of cross cutting concerns such as Application Resiliency, and Security

• Familiarity with Groovy and Gradle
• Strong understanding of containerization technologies such as Kubernetes or Docker
• Exposure to AI/ML technologies – especially familiarity with model training and inference
• Exposure to AWS cloud technologies