Software Engineer II

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🕒 March 26

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Pearson VUE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

📚 Education

🛍️ eCommerce

☁️ SaaS

Education • eCommerce • SaaS

Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.

📋 Description

• Design, develop, test, and deploy Salesforce solutions • Build Apex classes, triggers, and SOQL/SOSL queries • Develop Lightning Web Components (LWC) and Aura components • Implement business automation using Flows and platform tools • Develop and maintain integrations via REST/SOAP APIs • Customize objects, fields, validation rules, and page layouts • Troubleshoot defects, performance issues, and user-reported problems • Support release cycles and deployment activities • Collaborate with Admins, QA, Architects, and Business Analysts • Participate in code reviews and enforce best practices • Document technical designs and implementation details • Contribute to the design and implementation of Agentforce-powered solutions • Configure and customize AI agents to support business workflows • Integrate Agentforce with Flows, Apex, and external systems • Ensure data quality and security for AI-driven processes • Optimize agent behavior, prompts, and automation logic • Support monitoring and continuous improvement of AI agents

🎯 Requirements

• Bachelor’s degree in Computer Science, IT, or related field (or equivalent experience) • ~4 years of Salesforce development experience • Strong proficiency in: • - Apex, Triggers • - Lightning Web Components (LWC) • - SOQL/SOSL • - Salesforce Flows & Automation • Experience with REST/SOAP APIs and integrations • Understanding of Salesforce data model & governor limits • Solid grasp of Salesforce security (profiles, roles, sharing rules, FLS) • Experience with deployment tools (Change Sets, Salesforce DX, CI/CD) • Experience working with Salesforce AI features (Agentforce, Einstein, Prompt Builder, etc.) • Understanding of AI-driven automation and conversational workflows • Ability to integrate AI agents into Salesforce processes • Awareness of AI governance, data privacy, and ethical considerations • Salesforce Certifications relevant to the role and experience • Experience with Sales Cloud / Service Cloud / Experience Cloud • Agentforce implementations or pilots • Integration tools • DevOps / Git-based version control • Knowledge of design patterns and scalable architecture