Sr. Salesforce Developer

IntellectFaces, Inc.
United States
10 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Salesforce Object Search Language (SOSL) JavaScript (Programming Language) Artificial Intelligence Ajax (Programming Language) Microsoft Azure Batch Processing Bootstrap (Software) Cascading Style Sheets (CSS) Continuous Integration Customer Data Management Data Transformation Services DevOps
+22 more
Github Salesforce.Com Search Technologies Simple Object Access Protocol (SOAP) Systems Integration Apex Code Data Processing Okta Large Language Models Prompt Engineering Salesforce Lightning SOAPAPI Visualforce Data Loader AngularJS Apex Programming Salesforce Object Query Language (SOQL) Web Technologies Data Objects GPT Jenkins Mulesoft

Job description

Architect and develop Salesforce solutions, including custom objects, Apex, Visualforce, Lightning Components (Aura & LWC), workflows, validation rules, reports, and dashboards. Design and implement integrations using REST/SOAP APIs and middleware tools like MuleSoft. Build scalable data processing solutions using Batch Apex, scheduled jobs, and asynchronous frameworks. Manage deployments and release cycles using CI/CD tools (GitHub, Azure DevOps, Jenkins). Implement secure integrations with identity providers (e.g., OKTA) and external systems.

Requirements

5+ years of Salesforce development experience (or equivalent combination of education and experience). Strong expertise in Apex, LWC, Aura, Visualforce, and Lightning App Builder. Experience with Salesforce data model, SOQL/SOSL, triggers, batch processing, and governor limits. Hands-on experience with integrations (REST/SOAP), MuleSoft, and data migration tools (Data Loader). Proficiency in web technologies: JavaScript, AJAX, AngularJS, CSS/Bootstrap. Experience with DevOps and CI/CD pipelines (GitHub, Jenkins, Azure DevOps). Experience implementing SSO (e.g., OKTA). Working knowledge of LLMs (e.g., GPT models) and AI integration patterns. Experience integrating AI/LLM APIs into enterprise workflows. Understanding of prompt engineering, semantic search, and AI-driven automation. Certifications (Preferred): Salesforce Certified Platform Developer I & II Salesforce Certified Administrator / App Builder AI/ML or Salesforce Einstein certifications (Nice to have)

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