Lead Software Engineer - Salesforce-Business Banking

We are seeking a senior, hands-on Salesforce engineer who can design and deliver secure solutions while coaching and influencing across teams. You will own end-to-end technical execution (design through production support), support architectural evaluations with internal and external partners, and help modernize platforms through automation, optimization, and capabilities including AI/LLM and Agentforce.

Key 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, equity, inclusion, and respect.

Required Qualifications (Must Have)

• 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.

• 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 (Nice to Have)

• 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.

What Success Looks Like

• Releases delivered reliably with measurable improvements in stability and performance.

• Strong design decisions, effective code reviews, and active coaching that raises team capability.

• Scalable Salesforce solutions aligned to enterprise architecture and integration standards.