Salesforce Developer

A global company is speeding up its Salesforce delivery and is looking for Salesforce Developers who combine solid platform engineering with modern, AI-assisted ways of working. You’ll take stories from a discovery-ready backlog all the way to production across Flows, Lightning Web Components, and Apex. AI copilots and coding agents are part of your daily toolkit for development, testing, and documentation. You stay fully accountable for code quality, security, and production readiness. This is a full-time, long-term remote engagement for developers based in the US or Canada.

Location: Remote, USA or Canada

Overlap: 6 hours with US Eastern Time

Commitment: Full-time

Length: 12+ months

What You’ll Do

• Deliver Salesforce stories from a discovery-ready backlog through production, including automated tests and release notes.
• Build and maintain Flows, Lightning Web Components, and Apex functionality on a bi-weekly delivery cadence.
• Own your pull requests end to end, including automated tests, defect fixes, and production-quality validation.
• Build API- and MuleSoft-facing components in close collaboration with integration engineers.
• Use AI pair-programming tools to scaffold Flow, LWC, Apex, and unit tests, and validate their output yourself before it ships.
• Include automated tests and security checks in the same pull request as the related development work.
• Validate bulkification, sharing and security models, and governor-limit compliance.
• Take part in peer code reviews and a P1 on-call rotation.
• Contribute reusable AI prompts and development patterns that raise engineering quality and delivery speed across the team.
• Keep untested AI-generated code out of production and take accountability for production decisions.

What You Bring

• 3+ years of hands-on Salesforce development experience.
• Strong hands-on Apex experience, including triggers, classes, batch/async processing, and test classes.
• Strong experience building Lightning Web Components.
• Strong experience designing and building Salesforce Flows.
• Proficiency with Git-based development and pull request workflows.
• A strong automated-testing mindset that covers unit testing and security checks.
• A solid grasp of Salesforce security, sharing rules, bulkification, and governor limits.
• Experience integrating Salesforce with external APIs and MuleSoft-facing solutions.
• Daily, practical use of AI copilots or coding agents for discovery, development, testing, and documentation.
• The judgment to critically review and validate AI-generated code before it reaches production.
• Experience with peer reviews, defect resolution, and production support.

Nice to Have

• Salesforce Experience Cloud experience.
• Salesforce Service Cloud experience.