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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** Pearson - **Location:** Hoboken, NJ, United States - **Experience:** Expert - **Salary:** $145,000.0 - $160,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Salesforce Object Search Language (SOSL), Artificial Intelligence, Big Data, Cloud Computing, Code Review, Data Governance, Software Design Patterns, DevOps, Middleware, Performance Tuning, Release Management, Cloud Services, Salesforce.Com, Systems Architecture, Systems Integration, Apex Code, Data Ingestion, Prompt Engineering, SOAPAPI, Core Api, Visualforce, Event Driven Architecture, Information Technology, Data Analytics, Apex Programming, Integration Frameworks, Salesforce Object Query Language (SOQL), Virtual Agents, Software Coding, Restful APIs, User Identification - **Published:** August 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=96fda8bead8c353c ## About the Role 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., * 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 ## Description 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 ## Related Videos - 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