Lead design and delivery of scalable Salesforce solutions using Apex, LWC, Flows, and integrations. Architect Agentforce-driven AI agents, implement Data Cloud ingestion and activation, enforce governance, mentor engineers, support CI/CD, and optimize performance and security across enterprise Salesforce implementations.
Senior Salesforce Developer
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)
- 6+ 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
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