Senior Salesforce Developer - W2 Only

Key Responsibilities

• Design, develop, and maintain complex Salesforce solutions across Sales Cloud, Service Cloud, and Experience Cloud including custom objects, Apex classes, triggers, batch jobs, LWC components, and advanced Flow automation
• Build scalable, reusable, and well-documented code aligned with platform best practices, governor limits, and client's IT coding standards
• Participate in architecture reviews, code reviews, and technical grooming sessions contributing solutions that are secure, maintainable, and performant
• Support DevOps practices including Salesforce DX, Git branching strategies, CI/CD pipeline execution, and sandbox management across multi-org environments
• Develop and maintain Salesforce integrations with enterprise systems including MuleSoft, SAP, Documentum, Excalibur, and legacy platforms using REST/SOAP APIs, Platform Events, and Change Data Capture (CDC)
• Collaborate with MuleSoft developers and architects to implement integration contracts, validate data flows, and ensure end-to-end system reliability
• Build and maintain Salesforce data models including custom objects, relationships, schema design, and field-level governance aligned with enterprise data standards
• Support data migration efforts from legacy platforms (e.g., Microsoft Dynamics) contributing to ETL/ELT design, transformation logic, data validation scripts, reconciliation frameworks, and cutover execution
• Collaborate with Enterprise Data Platform (EDP) and Data Cloud teams to ensure data pipelines, structures, and quality standards are consistently applied across systems
• Implement data quality rules, deduplication logic, and audit-ready data lineage aligned with NERC compliance and utility-sector regulatory requirements
• Leverage Agentic AI platforms (Windsurf, Devin, or equivalent) daily for accelerated code generation, test automation, story refinement, and technical documentation
• Apply prompt engineering best practices iterative prompting, session scoping, and peer review gates to ensure AI-generated code is clean, complete, and production-ready
• Identify and remediate AI-generated code smells, token management issues, and output inconsistencies before delivery upholding quality standards in an AI-augmented workflow
• Integrate Salesforce Einstein AI, Agentforce, and GenAI-enabled flows into case management, portal, and automation workflows under the guidance of the Tech Lead and Architect
• Contribute to team-level AI efficiency benchmarks including development velocity gains, BA/QA effort reduction, and sprint throughput improvements aligned with client's AI-first delivery strategy
• Develop solutions that adhere to Salesforce platform governance standards including permission sets, profiles, field-level security, and sharing model best practices
• Ensure all code and configuration meet NERC compliance, utility-sector regulatory standards, and audit-ready documentation requirements
• Maintain thorough technical documentation for all delivered solutions, integrations, and data components
• Work closely with the Tech Lead, Product Owner, and Business Analyst to clarify requirements, refine user stories, and deliver sprint-ready, high-quality work items on time
• Participate actively in Agile ceremonies sprint planning, backlog grooming, daily standups, and retrospectives as a reliable and communicative delivery contributor
• Collaborate with QA leads to support SIT/UAT, write unit tests, and drive defect resolution maintaining defect counts below the 5% threshold across platform releases
• Mentor junior developers on platform best practices, AI tooling adoption, and code quality standards contributing to team capability growth and knowledge sharing

Required Qualifications

• 4+ years of hands-on Salesforce development experience with demonstrated ownership of complex, production-grade solutions
• Deep expertise in Apex, LWC, Flows, SOQL/SOSL, platform events, and Salesforce platform internals including governor limits and bulkification patterns
• Proven experience with enterprise integrations using REST/SOAP APIs, Platform Events, CDC, and middleware platforms such as MuleSoft
• Hands-on experience with data migration projects ETL/ELT design, transformation logic, data validation, and cutover execution
• Proficiency with Salesforce DX, Git, CI/CD pipelines, and sandbox/release management practices
• Active daily use of Generative AI and/or Agentic AI tools in a software delivery context with measurable quality and productivity outcomes
• Experience across Service Cloud, Experience Cloud, and workflow automation in enterprise environments
• Experience with Salesforce certifications: Platform Developer I (required); Platform Developer II strongly preferred

Preferred Qualifications

• Experience in regulated utility, energy, or infrastructure sectors with awareness of NERC compliance, audit requirements, and data governance standards
• Familiarity with Salesforce Data Cloud, Einstein AI, or Agentforce and AI-enabled workflow development
• Hands-on experience with Windsurf, Devin, or similar Agentic AI coding platforms in a team delivery context
• Knowledge of Documentum, Excalibur, or enterprise content management systems from a development and integration perspective
• Background in multi-vendor offshore/nearshore delivery models and distributed agile team collaboration
• Integration Architecture Designer or Data Architecture Designer certification (in progress or completed)