Lead Software Engineer Java, Spring, AWS, AI

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

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking youare 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 firms 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 break down technical problems
• 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.
• 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
• Adds to team culture of diversity opportunity inclusion and respect

Required qualifications capabilities and skills:

• Formal training or certification in Software Engineering and 5 years applied experience
• 6 years experience years in IT with strong CS fundamentals (algorithms data structures operating systems programming languages)
• 5 years experience building mission-critical enterprise applications using Java and the Spring ecosystem (Core Boot Cloud).
• 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
• Advanced in one or more programming language(s) : J2EE Core Java including Java 17 with annotation enum collections streaming multithreading concurrency regular expressions functions.
• Strong object-oriented design and common design patterns.
• REST architecture; design and implementation of RESTful APIs and web services.
• 3 years experience on private cloud (PCF) or public cloud (AWS Azure GCP).
• Hands-on practical experience delivering system design application development testing and operational stability
• Advanced in one or more programming language(s)

• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience
• Proficient in all aspects of the Software Development Life Cycle
• Proficiency in automation and continuous delivery methods
• 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 etc.)