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Senior Salesforce Developer

I8IS INC.
North Palm Beach, FL

Quick Apply

Job Details

14 days ago

Qualifications

Salesforce API integration
Systems integration
Software engineering
Data Integration (Data management)
Data migration
Tooling
Generative models
Integration Architecture Design (Architecture design skills)
Enterprise solutions implementation
AI platforms (beyond public GPTs)
Enterprise software systems development
SOAP
Salesforce Cloud
Production systems
ETL process automation
MuleSoft Anypoint Platform
Database migration or upgrading
Batch data processing
Generative AI

Full Job Description

Role Overview

This role goes beyond traditional Salesforce development—it sits directly at the intersection of complex platform customization, enterprise integration engineering, data-driven delivery, and AI-augmented development practices.

The ideal candidate writes clean, scalable code, takes total ownership of end-to-end feature delivery, and actively embraces Generative AI and Agentic AI tools as a core part of their daily engineering workflow. We are seeking a developer who leverages AI not as a novelty, but as a true force multiplier for quality and sprint velocity.

Key Responsibilities

Platform Development & Customization: Design, develop, and maintain complex Salesforce solutions across Sales, Service, and Experience Clouds (Custom objects, Apex classes, triggers, batch jobs, LWC components, and advanced Flow automation). Support DevOps practices utilizing Salesforce DX, Git branching, and CI/CD pipelines across multi-org environments.

Integration Engineering: Build and maintain Salesforce integrations with enterprise platforms including MuleSoft, SAP, Documentum, Excalibur, and legacy platforms using REST/SOAP APIs, Platform Events, and Change Data Capture (CDC).

Data Engineering: Support massive data migration efforts from legacy environments (such as Microsoft Dynamics), driving ETL/ELT logic, validation scripts, and reconciliation frameworks. Partner with Enterprise Data Platform (EDP) and Data Cloud teams to enforce strict data governance.

Generative & Agentic AI Delivery: Actively leverage Agentic AI software engineering platforms (Windsurf, Devin, or equivalent) daily for accelerated code generation, test automation, story refinement, and technical documentation. Integrate Salesforce Einstein AI, Agentforce, and GenAI-enabled flows into live case management workflows.

Governance, Security & Agile Execution: Ensure all builds adhere to field-level security and sharing model best practices. Maintain strict compliance with NERC compliance and utility-sector regulatory standards. Participate actively in standard Agile ceremonies, maintaining release defect counts below a strict 5% threshold.

Required Qualifications & Skills

Salesforce Core: 4+ years of hands-on Salesforce development experience with demonstrated ownership of complex, production-grade solutions (Apex, LWC, Flows, SOQL/SOSL, governor limits, and bulkification patterns).

Enterprise Integrations: Proven experience building integrations using REST/SOAP APIs, Platform Events, CDC, and middleware environments like MuleSoft.

Data Migration: Direct engineering experience handling legacy system migrations involving ETL/ELT design, transformation logic, and cutover execution.

AI Tooling (Mandatory): Active, daily use of Generative AI and/or Agentic AI tools in a production software delivery context with measurable quality and productivity outcomes.

Certifications: Salesforce Platform Developer I (Required).

Preferred Qualifications (Assets)

Salesforce Platform Developer II, Integration Architecture Designer, or Data Architecture Designer certifications.

Hands-on, practical engineering experience using Windsurf or Devin in a team setting.

Professional background within regulated utility, energy, or infrastructure sectors with an awareness of NERC compliance and audit frameworks.

Familiarity with Salesforce Data Cloud, Einstein AI, or Agentforce.

Quick Apply

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