Senior Lead Software Engineer - Security Platforms (Consumer & Community Banking)

Senior Lead Software EngineerDrive innovation and deliver trusted, market-leading technology at scale within Consumer & Community Banking.Join one of the world's most innovative financial institutions and help shape the future of technology in banking. At JPMorganChase, you'll work alongside talented engineers and leaders who are passionate about building secure, scalable, and impactful solutions that serve millions of customers every day. This is your opportunity to grow your career, deepen your technical expertise, and make a meaningful difference at a firm that invests in its people and its technology.As a Senior Lead Software Engineer at JPMorganChase within Consumer & Community Banking, 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. You will drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. In this role, you will serve as a subject matter expert, influencing product design, application functionality, and technical operations while actively contributing to the broader engineering community.Job ResponsibilitiesProvide technical guidance and direction to support the business and its technical teams, contractors, and vendors on a regular basisDevelop secure, high-quality production code and conduct thorough reviews and debugging of code written by othersDrive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes — including AI-assisted code review, refactoring, test acceleration, release readiness, and incident and root-cause analysis — while establishing measurable validation standards and promoting reuse of proven patterns within the software development lifecycle toolchainApply knowledge of tools within the software development lifecycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scaleInfluence product design, application functionality, and technical operations and processes through data-driven, outcome-focused decision-makingServe as a function-wide subject matter expert in one or more areas of technical focusActively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices across the software development lifecycleRequired Qualifications, Capabilities, and SkillsFormal training or certification on software engineering concepts and 5+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced proficiency in one or more programming languagesDemonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment — including coding, code review, test acceleration, and troubleshooting — with the ability to set team expectations for validating AI outputs for correctness, performance, and securityStrong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations; experience coaching senior engineers and leads on compliant usage patterns and controlsAbility to tackle design and functionality problems independently with little to no oversightPractical cloud-native experiencePreferred Qualifications, Capabilities, and SkillsExperience working in large-scale, distributed systems within a regulated financial services or enterprise environmentFamiliarity with DevSecOps practices and integrating security controls throughout the software development lifecycleExperience mentoring or guiding junior and mid-level engineers in technical best practices and engineering standardsExposure to multiple cloud platforms and containerization technologies such as Kubernetes or DockerDemonstrated ability to contribute to open-source projects or internal engineering communities of practice