As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Administration - Becoming A Customer 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.
Becoming a Customer (BAC) is a portfolio of products and platforms that power how customers discover, shop, apply for, and open new accounts across Chase Consumer & Community Banking. We operate at scale and deliver cohesive, end-to-end acquisition and origination experiences across channels (web and mobile). We are committed to a transformation journey and focused on creating innovative, secure, and best-in-class customer onboarding experiences. By working collaboratively across Product, Technology, Design, and Data & Analytics, we build personalized, integrated journeys that make it easy for customers to become established Chase customers—wherever they are and however they choose
Job responsibilities
- Design, develop, test, deploy, and troubleshoot full-stack software solutions, applying creative approaches to solve complex 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.
- Build and maintain secure, high-quality production code across frontend and backend; review, debug, and provide technical guidance on code written by others
- Lead system and application design for complex initiatives; produce and maintain architecture/design artifacts and ensure alignment through the SDLC
- Develop and operate scalable APIs and services, and build responsive, accessible user experiences that meet performance and usability standards
- Drive improvements in resiliency, availability, performance, and operability, including incident response, root-cause analysis, and preventative engineering
- Identify opportunities to eliminate recurring issues through automation, standardization, improved testing, and better engineering practices
- Improve developer productivity and delivery outcomes by evolving CI/CD practices, automated quality controls, and release processes
- Lead and contribute to engineering communities of practice to promote adoption of modern technologies and best practices
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience delivering production systems, including both frontend and backend development
- Advanced proficiency in one or more programming languages and experience building and operating web applications, APIs, and services
- Hands-on experience with system design, application development, testing, and operational stability in production environments
- Proficiency in modern web development concepts (component-based UI, API integration, performance optimization) and backend engineering fundamentals
- Proficiency in automation and continuous delivery methods and a strong understanding of Agile delivery practices
- Proficient in all aspects of the SDLC, including secure development practices
- Strong understanding of engineering disciplines such as application resiliency, reliability, and security
- Strong communication skills and ability to drive outcomes with cross-functional teams
- Practical cloud-native experience and familiarity with containerized and distributed system patterns
- Experience with observability practices (metrics, logging, tracing) and production readiness
- Experience mentoring engineers and leading technical initiatives across teams
- Domain knowledge in financial services and enterprise technology environments
- Experience in applying AI/ML capabilities to software products