Lead Salesforce Software Engineer

About The Role 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.

Responsibilities

• 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

Requirements

• 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

SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.