Senior Software Engineer

Pearson is a lifelong learning company focused on helping people realize their potential through learning. The Senior Software Engineer will design, develop, and lead scalable Salesforce solutions, including Agentforce-powered AI capabilities and Salesforce Data Cloud integrations. The role also involves technical leadership, architecture, governance, performance optimization, and mentoring junior developers.

Responsibilities:

• Lead the design and development of complex Salesforce solutions
• Build and maintain Apex classes, triggers, and SOQL/SOSL queries
• Develop Lightning Web Components (LWC), Aura components, and Visualforce pages
• Architect scalable automation using Flows and platform tools
• Design and implement robust integrations (REST/SOAP APIs, middleware)
• Optimize system performance, scalability, and reliability
• Enforce development best practices, coding standards, and governance
• Conduct code reviews and mentor junior developers
• Translate business requirements into technical designs
• Troubleshoot and resolve complex technical issues
• Support CI/CD pipelines and release management
• Lead design and implementation of Agentforce-powered solutions
• Define AI agent architecture, behaviors, and orchestration patterns
• Integrate Agentforce with Flows, Apex, Data Cloud, and external systems
• Drive prompt design, agent optimization, and performance tuning
• Establish AI governance, security, and compliance standards
• Partner with stakeholders to identify AI-driven automation opportunities
• Monitor, evaluate, and continuously improve AI agent effectiveness
• Lead integration and activation strategies using Salesforce Data Cloud
• Design data ingestion, identity resolution, and harmonization models
• Implement calculated insights, segmentation, and real-time activation
• Integrate Data Cloud with Sales Cloud, Service Cloud, and external platforms
• Ensure data quality, compliance, privacy, and governance
• Collaborate with data architects, analytics, and business teams
• Optimize performance when working with large-scale datasets

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
• 7+ years of Salesforce development experience
• Apex, Triggers
• Lightning Web Components (LWC)
• SOQL/SOSL
• Salesforce Flows & Automation
• Salesforce APIs & Integrations
• Strong understanding of Salesforce architecture & governor limits
• Advanced knowledge of Salesforce security model
• Experience with DevOps, Salesforce DX, CI/CD pipelines
• Proven ability to lead technical initiatives
• Hands-on experience with Agentforce / Salesforce AI capabilities
• Understanding of AI-driven workflows & conversational design
• Experience integrating AI agents into enterprise processes
• Knowledge of AI governance, ethical AI, and data privacy
• Experience implementing or supporting Salesforce Data Cloud
• Understanding of data unification, identity resolution, segmentation
• Experience with real-time activation & personalization use cases
• Knowledge of data governance & compliance frameworks
• Salesforce Certifications relevant to the role and experience
• Additional certifications (Application/System Architect) are a plus
• Sales Cloud / Service Cloud / Experience Cloud
• Enterprise-scale Salesforce implementations
• Integration platforms
• Event-driven architecture
• Knowledge of design patterns & scalable solution frameworks