Senior Salesforce Developer - W2 Only
Indexed description
- 1 Internal screening will be conducted virtually before scheduling the client interview.
- 2 client interviews will be conducted face-to-face at either the Juno Beach or Houston locations. Every candidate will participate in two rounds of interviews, both held in person at the specified offices.
SFDC Configuration
SFDC Customization
SFDC Lightning
Role Overview
We are seeking a talented and technically driven Senior Salesforce Developer to join the Client's IT Salesforce team. This role goes beyond traditional Salesforce development it sits at the intersection of complex platform customization, enterprise integration engineering, data-driven delivery, and AI-augmented development practices. The ideal candidate writes clean, scalable code, takes ownership of end-to-end feature delivery, and embraces Generative AI and Agentic AI tools as a core part of their daily engineering workflow not as a novelty, but as a force multiplier for quality and velocity.
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Key Responsibilities
Platform Development & Customization
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
Translate complex business requirements into precise, well-scoped technical implementations with minimal rework and maximum clarity
Support DevOps practices including Salesforce DX, Git branching strategies, CI/CD pipeline execution, and sandbox management across multi-org environments
Integration Engineering
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)
Implement real-time and batch integration patterns with robust error handling, retry logic, and logging frameworks aligned with enterprise resilience standards
Collaborate with MuleSoft developers and architects to implement integration contracts, validate data flows, and ensure end-to-end system reliability
Support multi-system workflow development spanning case management, document handling, and regulated utility operations ensuring integration layers are testable, observable, and auditable
Data Engineering
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
Generative AI & Agentic AI Delivery
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
Governance, Security & Compliance
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
Support security reviews, vulnerability assessments, and AppExchange product evaluations as needed
Maintain thorough technical documentation for all delivered solutions, integrations, and data components
Collaboration & Agile Delivery
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
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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
Salesforce certifications: Platform Developer I (required); Platform Developer II strongly preferred
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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)
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