Senior Salesforce Developer

Senior Salesforce Developer

Location: Onsite (5 days a week) in Juno Beach, FL or Houston, TX

Rate: $70/HR

Experience: 4+ Years

Please enter candidate's location in the supplier notes. In addition, confirm that the candidate is willing to attend in-person interviews. There will be three interviews.

1. An internal screening will be conducted virtually before scheduling the client interview.

2. Two 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.

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.

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

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

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)