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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level, metro role with a general 'Senior Software Engineer' title and broad requirements increases competition.
Salesforce development skills transfer across industries, but Agentforce/Einstein AI specialization raises domain specificity.
Mandatory 5+ years, 3+ years Salesforce experience and Platform Developer I certification create strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain complex Salesforce solutions and integrations supporting 2000+ users across multiple clouds and platforms.
Leverage AI-assisted development tools to build and govern AI-driven agents and automations ensuring accuracy, security, and alignment to business processes.
Mentor junior software engineers and collaborate with business and technical stakeholders to translate requirements into scalable, compliant Salesforce architectures.
Minimum Requirements
5+ years of Software Engineering experience; 3+ years in enterprise Salesforce implementations.
BS in Engineering/Computer Science or equivalent experience; Salesforce Platform Developer I certification required.
Advanced proficiency in Apex, LWC, SOQL/SOSL, Salesforce data modeling, and Salesforce AI-assisted development tools.
Experience working in regulated, audited, or compliance-driven release environments preferred; knowledge of Agile/Scrum and waterfall methodologies.
Ideal Candidate Profile
Experienced in large-scale Salesforce environments integrating multiple clouds and third-party platforms like Gainsight and Monday.com.
Capable of using AI coding assistants and prompt engineering to build reliable, governed AI agents and workflows on the Salesforce platform.
Skilled at mentoring others, performing detailed design and code reviews, and proficient in CI/CD best practices and Salesforce release governance.