Lead Software Engineer - Salesforce- Business Banking

JPMorganChase•Plano, TX

About The Position

We are seeking a senior, hands-on Salesforce engineer to design and deliver secure solutions while coaching and influencing across teams. The role owns end-to-end technical execution, from design through production support, supports architectural evaluations with internal and external partners, and helps modernize platforms through automation, optimization, and capabilities including AI/LLM and Agentforce. The engineer drives adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes. This includes establishing validation standards for secure coding, peer review, and automated testing, and promoting reuse of effective patterns. The role contributes to communities of practice, evaluates emerging technologies and external solutions, and supports a team culture rooted in diversity, equity, inclusion, and respect. Success is reflected in reliable releases with measurable stability and performance improvements, strong design decisions and code reviews, active coaching that raises team capability, and scalable Salesforce solutions aligned to enterprise architecture and integration standards.

Requirements

5+ years of Salesforce development experience.
Deep expertise in Agentforce and AI/LLM-related capabilities and use cases.
Deep expertise in Apex.
Deep expertise in Lightning Web Components (LWC).
Deep expertise in triggers and flows.
Experience with Sales Cloud, Service Cloud, and Financial Services Cloud (FSC).
Experience with REST APIs, web callouts, and integrations.
Demonstrated experience leading effective use of approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting.
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, secure handling of inputs and outputs, and resiliency and security expectations.
Senior-level engineering experience with coaching and mentorship while remaining hands-on.
Strong communication skills and executive presence, with the ability to explain technical details, end-to-end system behavior, and design decisions clearly.
Proven experience handling large data volumes, performance tuning, and platform or application optimization.

Nice To Haves

Financial services industry experience.
Experience building or integrating cloud-native applications.
AWS experience.
Java experience.
Familiarity with Jira, Bitbucket, and source control or version control systems.

Responsibilities

Drive team adoption of enterprise-authorized AI-assisted engineering practices, including code review and refactoring, test acceleration, and incident or root-cause analysis support.
Establish consistent standards for validating AI outputs and engineering work, including secure coding, peer review, and automated testing; promote reuse of effective patterns.
Use software development lifecycle tools and authorized AI-assisted development and automation capabilities to improve the value realized by automation.
Design, develop, and troubleshoot software solutions, breaking down complex technical problems using practical and effective approaches.
Build secure, production-grade code; review, debug, and improve code written by others.
Identify recurring issues and implement elimination or automation strategies to improve application and system operational stability.
Participate in evaluation sessions with external vendors, startups, and internal teams to assess architectural designs, technical credentials, and fit within enterprise information architecture.
Contribute to communities of practice to increase awareness and adoption of emerging technologies across software engineering.
Coach and mentor engineers, including on safe and compliant adoption of AI-assisted tools in delivery practices.
Contribute to a team culture rooted in diversity, equity, inclusion, and respect.
Deliver reliable releases and scalable Salesforce solutions aligned with enterprise architecture and integration standards.