Advanced Production Lab Equipment Operator III

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 Dev Ops 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 Mule Soft, 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 Mule Soft 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…