Lead Salesforce Software Engineer

We are seeking a highly skilled and innovative Salesforce Tech Lead to join Salesforce team. This role goes beyond traditional Salesforce development - it sits at the intersection of enterprise integration architecture, data engineering, and AI-augmented delivery. The ideal candidate thrives in a fast-paced, agile environment, leads with technical depth, and embraces Generative AI and Agentic AI tools as a core part of their daily engineering workflow., * Lead end-to-end Salesforce solution design across Sales Cloud, Service Cloud, Experience Cloud, and custom applications, ensuring scalability, security, and governance

• Define and enforce coding standards, design patterns, and DevOps best practices, including CI/CD, Salesforce DX, Git, and pipeline tooling
• Conduct architecture and code reviews, provide technical direction, and mentor Salesforce developers across onshore and offshore teams
• Design and implement MuleSoft integrations between Salesforce and enterprise systems such as SAP, Documentum, Excalibur, and legacy platforms
• Build and maintain REST/SOAP APIs, Platform Events, CDC, and middleware solutions for real-time and batch integrations
• Own Salesforce data architecture and lead data migration, transformation, validation, reconciliation, and cutover activities
• Collaborate with Enterprise Data Platform and Data Cloud teams to ensure scalable data pipelines, data quality, integrity, and governance.
• Leverage Agentic AI and Salesforce AI capabilities, including Einstein AI and Agentforce, to accelerate development, testing, documentation, and automation
• Champion AI-augmented SDLC practices and support measurable improvements in development velocity, QA/BA effort, and sprint throughput
• Ensure platform security and regulatory compliance while collaborating with architects, business stakeholders, Product Owners, and QA teams throughout delivery

• 5+ years of hands-on Salesforce development experience with demonstrated technical leadership
• Deep expertise in Apex, LWC, Flows, SOQL/SOSL, and Salesforce platform internals
• Strong experience with MuleSoft or equivalent integration platforms (REST APIs, event-driven architecture, middleware patterns)
• Proven track record in data migration projects - ETL design, transformation logic, reconciliation, and cutover execution
• Hands-on experience with Salesforce DX, Git, CI/CD pipelines, and DevOps tooling
• Active daily use of Generative AI and/or Agentic AI tools in a software delivery context
• Experience in Experience Cloud / Community portals, Service Cloud case management, and workflow automation
• Salesforce certifications: Platform Developer II (required); Integration Architecture Designer or Data Architecture Designer (strongly preferred)
• Experience in regulated utility, energy, or infrastructure sectors, including exposure to compliance and audit requirements, would be advantageous
• Familiarity with Salesforce Data Cloud, Einstein Analytics, or Agentforce is highly valued
• Hands-on experience with Windsurf, Devin, or similar Agentic AI coding platforms would be beneficial