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Strong employer brand and metro location but seniority and Salesforce specialization reduce applicant density.
Salesforce platform expertise and AI-native full-stack expectations limit cross-industry transferability.
Explicit 12+ years plus mandatory Salesforce, full-stack, and AI-assisted development requirements create strict shortlisting.
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End-to-end ownership of full-stack Salesforce and related platform development including UI, API, business logic, data models, and integrations.
Leverage AI-assisted coding tools to build scalable automations and features that reduce manual workflows in critical revenue processes.
Drive reliability, scalability, and architectural improvements while partnering closely with business stakeholders for impactful solutions.
12+ years of professional full-stack software engineering experience with frontend, backend, APIs, and data.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline.
Proficiency in modern frontend (JavaScript/TypeScript, HTML, CSS) and backend development (OOP, RESTful APIs, databases, data modeling).
Daily hands-on experience with AI-assisted development tools (e.g., Cursor, Claude Code, Codex, GitHub Copilot) and Salesforce platform tech (Lightning Web Components, Apex, SOQL/SOSL) or willingness to ramp up.
Experienced engineer with deep architectural intuition and strong debugging skills, comfortable owning features from design through production support.
AI-native developer fluent in integrating AI coding tools across the full software development lifecycle, not limited to a single specialty.
Adaptable and curious with ability to quickly adopt platforms like Salesforce and MuleSoft, and transform ambiguous business problems into reliable technical solutions.