Sr. Salesforce Developer

About the role

Serve as the senior technical authority for Salesforce architecture, integrations, and release management. Lead AI-enabled development practices including the use of AI-assisted coding tools and Salesforce AI capabilities such as Agentforce. Mentor and support a junior Salesforce developer while promoting engineering excellence and platform scalability.

Responsibilities

• Design and implement scalable Salesforce solutions aligned with enterprise architecture standards.
• Develop and maintain Apex, Lightning Web Components (LWC), Flows, and APIs.
• Lead solution design for complex cross-functional initiatives and integrations (e.g., Celigo, NetSuite, Workday).
• Serve as technical authority for issue resolution, design reviews, and best practices.
• Own technical aspects of release cycles including CI/CD, testing, and deployment governance.
• Leverage AI-assisted development tools (e.g., Github Copilot) to improve development velocity and quality.
• Provide expertise, support and implement Salesforce AI use cases, including Agentforce and predictive capabilities.
• Mentor junior Salesforce developer(s) through code reviews, design guidance, and skills development.
• Work closely with other developers on the Enterprise Apps (EA) team to promote best practices and learning.
• Champion Salesforce governance, security, documentation, and DevOps maturity.
• Provide consultative guidance to business stakeholders on platform capabilities and scalable automation.
• Work with stakeholders to understand needs and pain points in order to help Salesforce users work more efficiently.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, MIS or related field (or equivalent experience).
• 6+ years of enterprise Salesforce development experience.
• Required: Salesforce Certified Platform Developer I.
• PREFERRED: Salesforce Certified Platform Developer II and Salesforce Certified AI/Agentforce Associate or Specialist.
• Strong expertise in Apex, LWC, Flows, REST/SOAP APIs, and Salesforce security model.
• Experience with Sales Cloud and/or Service Cloud required; Experience Cloud and CPQ preferred.
• Demonstrated experience using AI-assisted development tools and exposure to Salesforce AI (e.g., Agentforce, Einstein).
• Experience with enterprise integrations and middleware.
• Strong understanding of SDLC, Agile methodologies, and DevOps best practices.