Senior Salesforce Developer
Uses Cursor and AI assistants (Claude, Claude Code, SF Vibes, GitHub Copilot) as standard parts of the development workflow.
About the Role
Senior Salesforce Developer role focused on architecting and building AI-first Salesforce solutions across ICE business lines. The position centers on Data Cloud, Agentforce, and AI-assisted development to deliver production-grade automations and integrations that support sales and service workflows.
Job Description
Role
Senior Salesforce Developer on ICE’s global CRM Development team, responsible for designing, building, and supporting Salesforce applications that power prospect-to-cash and service delivery across multiple business units. The role emphasizes AI-first development, Data Cloud architecture, Agentforce autonomous agents, and production-ready integrations and analytics.
Key Responsibilities
- Develop, maintain, and support Salesforce applications using modern best practices and AI-assisted development tools (Claude, Claude Code, SF Vibes, Cursor, GitHub Copilot).
- Architect and implement Data Cloud solutions including data ingestion, identity resolution, data model design, calculated insights, and activation for real-time personalization.
- Build, configure, and optimize Agentforce agents: define topics, actions, guardrails, and integrate agents with Salesforce data and external APIs.
- Design and deploy generative AI features using Prompt Builder and custom Agentforce actions grounded in Data Cloud for production reliability.
- Partner with Sales and Service stakeholders to translate business requirements into shipped features; manage full lifecycle from specification through QA, UAT, and deployment.
- Apply Salesforce architecture expertise to validate AI-assisted outputs and maintain platform integrity, documentation, and development standards.
- Lead and participate in knowledge-sharing, maintain certifications and Trailhead progress, and document technical decisions.
Requirements
- 6+ years developing on the Salesforce platform with deep hands-on expertise in Apex, Lightning Web Components, and Aura.
- Strong front-end fundamentals: HTML, CSS, JavaScript.
- Solid command of Lightning Flows, batch processing, trigger design patterns, and governor limits.
- Experience configuring and developing on Experience Cloud.
- Working knowledge of SDLC practices and modern deployment tooling (Git, Copado, or DevOps Center).
- Salesforce Administrator certification required; Platform Developer I & II strongly preferred (or equivalent hands-on experience).
- Hands-on experience with Agentforce agents, Prompt Builder, and grounding generative features in Data Cloud.
- Familiarity with Einstein Trust Layer, responsible AI guardrails, data masking, and toxicity filters.
- Experience designing Data Cloud data streams, DMOs, identity resolution rulesets, Calculated Insights, and Segments.
- Working familiarity with Tableau and TabNext for analytics and dashboards.
Preferred Qualifications
- Experience with MuleSoft or other integration platforms and real-time event ingestion (web/mobile SDK, MuleSoft integration).
- Familiarity with web application architecture (HTTP, REST/SOAP APIs) and SQL/databases (SQL Server, MySQL).
- Financial industry exposure (capital markets, exchange data, mortgage technology) is a plus.
- Additional Salesforce certifications (Agentforce Specialist, Data Cloud Consultant, AI Associate/Specialist) are beneficial.
Tools & Technologies (examples mentioned)
Salesforce platform components (Sales Cloud, Service Cloud, Data Cloud, Experience Cloud), Agentforce, Prompt Builder, Apex, Lightning Web Components, Aura, HTML, CSS, JavaScript, Lightning Flows, Git, Copado, DevOps Center, Tableau, TabNext, MuleSoft, Claude, Claude Code, SF Vibes, Cursor, GitHub Copilot, Einstein Trust Layer, Model Builder.