Senior Software Engineer

Role Summary

We are seeking a highly skilled Senior Salesforce Developer to design, develop, and implement scalable, high-performance Salesforce solutions. This role requires deep technical expertise, strong architectural thinking, and leadership in delivering intelligent, data-driven capabilities leveraging Salesforce technologies, including Agentforce and Data Cloud.

Key Responsibilities

Core Development

• 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

AI & Agentforce Leadership

• 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

Data Cloud Responsibilities

• 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

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 7+ years of Salesforce development experience
• Deep expertise in:
  • 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

AI / Agentforce Expertise

• 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

Data Cloud Expertise

• 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

Preferred Qualifications

• Salesforce Certifications relevant to the role and experience
• Additional certifications (Application/System Architect) are a plus
• Experience with:
  • Sales Cloud / Service Cloud / Experience Cloud
  • Enterprise-scale Salesforce implementations
  • Integration platforms
  • Event-driven architecture
• Knowledge of design patterns & scalable solution frameworks

Compensation at Pearson is influenced by factors including skill set, experience, and location.

The full-time salary range for this role is $145,000 – $160,000.

This position is eligible to participate in an annual incentive program. Information on benefits can be found here.

Applications will be accepted through 6th November 2026. This window may be extended depending on business needs.

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