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-Java/Spring Boot at JPMorgan Chase within Commercial and Investment Banking's Post-Trade 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

• 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 applied experience

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• Advanced in one or more programming language(s), including Java

• Hands-on experience building and maintaining microservices with Spring Boot, including REST APIs with JSON, dependency injection, configuration management, and actuator-based monitoring.

• Proficiency in automation and continuous delivery methods.

• Previous experience working with relational databases such as Oracle, Postgres, MongoDB, Etc.

• 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.

• Proficient in all aspects of the Software Development Life Cycle.

• Advanced understanding of agile methodologies such as CI/CD, Pair Programming, TDD, Application Resiliency, and Security.

• In-depth knowledge of the financial services industry and their IT systems.

Preferred qualifications, capabilities, and skills

• Experience using modern cloud technologies such as AWS and frameworks such as S3, Lambdas, Athena, etc.

• Practical cloud native experience, AWS preferred.

• Experience building and supporting centralized and de-centralized data architectures such as data lakes and data meshes

• In-depth knowledge of the financial services industry and their IT systems.