Lead Software Engineer - Java Full Stack

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Corporate Sector - Security Technology, 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

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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.
• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong hands-on Java + Spring Boot engineering experience building secure, production-grade services and RESTful APIs.
• Experience with event-driven/messaging systems (e.g., Kafka, JMS, RabbitMQ) and building reliable integrations.
• Full-stack capability with ReactJS + modern JavaScript/HTML/CSS, delivering maintainable UI components using a governed UI framework/design system.
• Technical leadership with cloud-native delivery and engineering excellence: leading solution design/architecture; driving design/code reviews and standards; owning SDLC quality via automated testing (JUnit + integration/contract testing), CI/CD (Jenkins or equivalent), and production troubleshooting; and delivering/operating on cloud platforms (AWS or Cloud Foundry) with observability (logs/metrics/traces) and production readiness.
• Experience with Spring Framework and Hibernate/JPA, Experience building UI using ReactJS, JavaScript, HTML, and CSS.
• Strong testing experience (JUnit and broader automated testing practices such as integration/contract/component testing).
• Strong SQL skills and experience with RDBMS such as Oracle, MySQL, MS SQL, or Amazon RDS, Experience with source control (Git/Bitbucket/GitHub) and modern review/branching workflows.
• 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

  Preferred qualifications, capabilities, and skills

• Experience with microservices architecture patterns (service boundaries, resiliency, backward compatibility, idempotency).
• Experience with micro-frontend architectures (frontend decomposition, shared components, independent deployment/versioning).
• Experience with blue-green deployments (deployment strategies to reduce risk/downtime, rollback planning, release validation).