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Metro location and generic senior engineer title increase competition, but specialized Salesforce skills moderate applicant density.
Deep Salesforce product and cloud-specific expertise limits cross-industry transferability.
Extensive mandatory Salesforce platform expertise and multiple specific product skills make shortlisting highly selective.
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Design, develop, and maintain scalable Salesforce applications across Sales, Service, Revenue, Experience Cloud and Contract Lifecycle Management using Apex, LWC, and Salesforce declarative tools.
Build AI-powered business solutions leveraging Agentforce, Einstein AI, Prompt Builder, and AI-assisted automation for intelligent workflows and decision-making.
Lead integration development, performance optimization, and application security while mentoring junior engineers and participating in architectural design and code reviews.
Strong expertise in Salesforce platform development including Apex, Lightning Web Components, Salesforce Flows and integration technologies (REST/SOAP APIs).
Experience with Salesforce Revenue Cloud, Data Cloud, Contract Lifecycle Management and Experience Cloud is required.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with AI capabilities in Salesforce like Einstein AI, Agentforce, and Prompt Builder is mandatory.
Hands-on architect with deep Salesforce platform and AI-powered business solution expertise focused on scalable and secure enterprise deployments.
Experienced in cross-cloud Salesforce solutions including Sales, Service, Revenue, Data and Experience Clouds with integration and automation emphasis.
Proven ability to lead technical design reviews, mentor engineers, perform root cause analysis, and implement DevOps/CI-CD pipelines in Salesforce environments.