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 at JPMorgan Chase within the Consumer and community banking 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- 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.
- Design, develop, and troubleshoot software solutions; break down complex technical problems using practical, effective approaches.
- Build secure, production-grade code; review, debug, and improve code written by others.
- Identify recurring issues and implement elimination/automation strategies to improve the operational stability of applications and systems.
- Participate in evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within the enterprise information architecture.
- Contribute to communities of practice to drive awareness and adoption of emerging technologies across software engineering.
- Contribute to a team culture rooted in diversity, Opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills- Formal training or certification on software engineering concepts and 5+ years applied experience
- 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, Application Resiliency, and Security
- In-depth knowledge of the financial services industry and their IT systems
- Practical cloud native experience
- Senior-level engineering experience with demonstrated coaching/mentorship, while remaining hands-on.
- 5+ years of Salesforce development experience, including deep expertise in: Agentforce and AI/LLM-related capabilities/use cases, Apex, Lightning Web Components (LWC), Triggers, Flows, Sales Cloud, Service Cloud, Financial Services Cloud (FSC), REST APIs, web callouts/integrations
- Strong communication skills and executive presence; able to explain technical details clearly, including how systems work end-to-end and why design decisions were made.
- Proven experience handling large data volumes, performance tuning, and platform/application optimizations.
Preferred qualifications, capabilities, and skills- Financial services industry experience.
- Experience building or integrating cloud-native applications.
- AWS experience.
- Java experience.
- Familiarity with Jira, Bitbucket, and source control/version control systems.
