Grain Scale Operator​/Night Shifts

There will be 3 interviews.
1. 1 Internal screening will be conducted virtually before scheduling the client interview.
2. 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.

Key Responsibilities
Platform Architecture & Customization

• Define and govern enterprise Salesforce architecture across Sales Cloud, Service Cloud, Experience Cloud, and custom platform applications — ensuring scalability, security, multi-org coherence, and long-term maintainability

• Lead complex Salesforce customization efforts including Apex frameworks, LWC component libraries, advanced Flow orchestration, and platform event-driven architecture

• Establish and enforce coding standards, design patterns, Dev Ops best practices, and CI/CD pipelines via Salesforce DX, Git, and release management tooling

• Drive architecture reviews, technical grooming, and platform health assessments across delivery teams and vendor partners

• Own the Salesforce platform roadmap and align it to Client's IT strategic goals, operational priorities, and AI-enabled delivery models

Integration Engineering

• Architect and govern end-to-end integrations connecting Salesforce to enterprise systems including Mule Soft, Documentum, Excalibur, SAP, GIS/ESRI, and legacy platforms

• Define integration contracts, error handling frameworks, retry/resilience patterns, and middleware orchestration strategies for real-time and batch integration scenarios

• Lead integration solutioning for complex, multi-system workflows spanning case management, document handling, and regulated utility operations

• Collaborate with Mule Soft Architects to evaluate, design, and harden integration layers supporting mission-critical business processes

• Guide REST/SOAP API design, Platform Events, Change Data Capture (CDC), and event-driven patterns across multi-vendor delivery teams

Data Engineering

• Own and drive Salesforce data architecture including data modeling, object relationships, schema governance, and master data management across multi-org environments

• Lead data migration strategies from legacy platforms (e.g., Microsoft Dynamics) to Salesforce — including transformation logic, validation frameworks, reconciliation protocols, and cutover planning

• Partner with the Enterprise Data Platform (EDP) and Salesforce Data Cloud teams to design scalable data pipelines, harmonize data structures, and ensure enterprise-wide data integrity

• Define and enforce data quality rules, deduplication strategies, and audit-ready data lineage standards aligned with NERC and utility-sector compliance requirements

• Evaluate and guide adoption decisions between custom EDP approaches and Salesforce Data Cloud, presenting trade-offs with executive-level clarity

Generative AI & Agentic AI Delivery

• Leverage Agentic AI platforms (Windsurf, Devin, or equivalent) daily for solution design, accelerated story creation, code generation, test automation, and technical documentation

• Apply and champion prompt engineering best practices — iterative prompting, session scoping, output peer review, and token management — ensuring AI output quality and delivery completeness

• Architect and integrate Salesforce Einstein AI, Agentforce, and GenAI-enabled flows into case management, portal, and enterprise automation workflows

• Lead AI-augmented SDLC practices at the platform level, establishing guardrails, quality gates, and responsible AI usage standards for the broader delivery team

• Drive and measure AI efficiency benchmarks including development velocity gains, BA/QA effort reduction, sprint throughput improvements, and labor cost optimization

• Contribute…