
Posted Today
Salesforce Engineer II
AI Summary
Designs, develops, and maintains scalable Salesforce solutions across Sales, Service, and Experience Cloud, integrating systems and optimizing performance while collaborating with cross-functional teams.
About this role
Primary Duties
Scalable Solution Design & Execution (30%)
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Develop programmatic cross-module workflows and scripts to capture API payload data and pipeline performance metrics.
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Apply strong analytical thinking to diagnose Salesforce system anomalies and multi-platform data sync drifts rather than applying isolated patches.
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Appropriately select between declarative vs. programmatic execution, utilizing custom code (Apex, LWC) when native Flows cannot meet scale requirements.
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Implement custom integrations and core Salesforce features while minimizing the risk of platform API deprecations or major vendor updates.
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Demonstrate a strong bias to action by taking ownership of integration issues, failing queues, or deployment locks during release cycles.
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Consistently deliver production-ready, bulkified code within target timeframes while enforcing automated testing patterns, version control, and health monitoring within platform Governor and API limits.
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Collaborate effectively with partner teams (Data Engineering, Security, Finance) on custom integrations to ensure architectures cleanly support adjacent business workflows.
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Prioritize and resolve complex bug fixes in custom code, instrumenting API endpoints and Salesforce Event Monitoring for better observability.
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Troubleshoot and resolve application alerts and system sync issues within established SLAs.
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Participate in DevOps best practices (repository-driven sandbox management, CI/CD pipelines) to reduce deployment friction, and engage in peer code reviews focused on bulkification, efficiency, and code quality.
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Safely utilize AI-assisted development tools (code generation assistants, syntax formatters) while critically evaluating AI-suggested SOQL structures, collection iterations, and asynchronous patterns against execution limits.
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Identify manual processes for programmatic automation and document application procedures and incident post-mortems.
Portfolio Execution & Technical Delivery (25%)
Cross-Functional Integration & Compliance (20%)
Technical Support & DevOps Practices (25%)
Minimum Qualifications
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Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
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Experience: 4+ years of Salesforce Developer/Engineering experience.
Preferred KSA’s
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Solid understanding of systems architecture and technical specifications aligned with business growth.
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Strong critical thinking skills to diagnose systemic Salesforce anomalies and data sync issues across connected platforms.
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Hands-on expertise in custom development concepts, including bulkified Flows, Apex, Triggers, Lightning Web Components (LWC), and REST-based web services.
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Proficiency in Apex, Lightning Components, SFDC APIs, SOQL, SOSL, XML, JSON, and modern DevOps/CI/CD tools.
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Fluency in utilizing AI-assisted development tools (e.g., code generation assistants), with the ability to critically evaluate AI-suggested SOQL query structures, collection iterations, and asynchronous patterns against execution limits.
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Experience participating in technical solution evaluation, integration planning, and change control processes.
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Relevant certifications preferred (e.g., Salesforce Administrator, Platform Developer I / II, or App Builder).
Physical Requirements
Skills
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