Lead Software Engineer

Lead engineer for Java distributed, cloud-native backend systems with strong focus on resiliency, security, and scale. As a Lead Software Engineer at JPMorgan Chase within Consumer and community banking technology team, you design, build, and operate highly scalable, resilient, cloud-native backend systems in Java. Job Responsibilities: Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine 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 Drive team adoption of approved AI-assisted engineering practices 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 AI-assisted development and automation capabilities, to improve the value realized by automation Lead communities of practice across software engineering to drive awareness and use of new and leading-edge technologies Add to a team culture of diversity, opportunity, inclusion, and respect Required qualifications, skills, and capabilities: Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in Java programming language 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 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 Experience designing, deploying, and managing containerized applications using Kubernetes In-depth knowledge of the financial services industry and their IT systems Practical AWS experience Preferred qualifications, skills, and capabilities: Co-Pilot skills AWS solution architect certification Familiarity with Springboot Carry out critical tech solutions across multiple technical areas as an integral part of an agile team