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 17th August 2026. This window may be extended depending on business needs. #LI-P1