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We are hiring a Salesforce Service Cloud Developer with Agentforce and Data Dloud experience – for one of our consulting clients.
This person will work on enterprise-scale Service Cloud implementations, supporting end-to-end delivery across multiple projects.
The contract is 40 hours/week, remote (US-based), working EST hours. This role is only open to US Citizens and Green card holders.
Successfully build and implement Salesforce Service Cloud solutions using a configuration-first (clicks before code) approach, tailoring solutions to business needs.
Deliver across the full SDLC, including requirements gathering, solution design, build, testing, deployment, and post-production support.
Configure and optimize Service Cloud features such as Case Management, Omni-Channel, Knowledge, and Service Console.
Design and implement Agentforce capabilities, including Einstein for Service, Copilot/Agent Actions, and Prompt Builder.
Leverage declarative tools such as Flow (record-triggered, screen, scheduled, subflows), Dynamic Forms, and validation rules to create scalable solutions.
Develop targeted customizations using Apex and Lightning Web Components (LWC), applying best practices and governor limit considerations.
Manage deployments and releases using Copado and Git, including branching strategies, pipelines, back promotions, and hotfixes.
Design and implement integrations using REST/SOAP APIs, Named Credentials, External Services, and Platform Events.
Define and maintain data models, including object relationships, large data volume strategies, indexing, and data migrations (Data Loader/API).
Strong Salesforce development experience (5+ years) with a focus on Service Cloud.
Hands-on experience delivering Agentforce solutions (Einstein for Service, Copilot, Prompt Builder).
Deep expertise in Salesforce Flow, including orchestration, error handling, and modular design using subflows.
Solid understanding of Apex and LWC for custom development where necessary.
Experience with DevOps tools such as Copado and version control systems like Git.
Strong understanding of Salesforce data modeling, including relationships, large data volumes, and performance optimization.
Experience integrating Salesforce with external systems using APIs and event-driven architecture.
Proven ability to lead technical discussions, communicate design decisions, and work directly with stakeholders.
Experience working in Agile environments with end-to-end ownership of deliverables.
Strong problem-solving skills and ability to work independently without constant oversight.