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Specialized Salesforce/AI skills reduce pool, but mid-level SDE title attracts moderate competition.
Strong Salesforce and Apex specialization limits transferability across industries.
Explicit 4+ years Salesforce experience and mandatory Apex/LWC/AI skills enforce strict filters.
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Own design, development, and scalable delivery of Salesforce solutions integrating AI-powered features (Einstein, GenAI, LLMs).
Lead performance optimization, implement secure API and AI/ML service integrations, and design data models supporting operational and AI use cases.
Mentor junior engineers, manage code quality, conduct reviews, and drive CI/CD releases using tools like Copado/GitHub.
Bachelor’s degree in Computer Science or related field.
Minimum 4 years of Salesforce development experience on Lightning Platform with strong Apex, LWC, SOQL/SOSL, and security model knowledge.
Experience with LDV (Large Data Volumes), Governor Limits, and CI/CD workflows (Git/GitHub).
Exposure to AI/GenAI technologies such as Agentforce, Einstein, or OpenAI integrations.
Experienced Salesforce engineer with ability to design and deliver complex, scalable Salesforce and AI-integrated solutions.
Proficient in advanced Apex frameworks, Lightning Web Components, event-driven architecture, and asynchronous processing.
Capable of owning end-to-end technical delivery, mentoring teams, and balancing declarative and custom development approaches within Salesforce ecosystems.