Staff Engineer, Salesforce

About this role

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Skills you'll use

What you'll do

• Platform development
• Design and implement solutions using Apex (classes, triggers, batch, queueable, schedulable), LWC, and Aura across Sales Cloud, Service Cloud, and Experience Cloud
• Build and configure Experience Cloud sites — templates, audience targeting, CMS content, community roles, and sharing rules
• Architect and govern hybrid declarative/programmatic solutions, balancing Flows and Apex with governor limit awareness
• Develop and maintain REST/SOAP API integrations with external systems using Named Credentials and Connected Apps
• Own custom object design, data model decisions, and sharing architecture in a multi-cloud org
• AI, Agentforce & Data Cloud
• Configure and maintain Data Cloud data streams, data model objects, and identity resolution rulesets
• Build unified customer profiles by ingesting data from Salesforce CRM, external systems, and web/mobile event sources
• Create and manage segments, calculated insights, and activation targets for use in Service and Sales Cloud flows

Who can apply

• Collaborate with data and analytics teams on data governance, consent management, and profile hygiene
• Design and configure Agentforce agents — defining topics, instructions, and actions tied to Apex, flows, and external APIs
• Integrate Einstein features (Next Best Action, Case Classification, Copilot) within Service and Sales Cloud contexts
• Evaluate emerging Salesforce AI capabilities for production readiness and recommend adoption roadmap
• Own and operate CI/CD pipelines using Salesforce DX (SFDX), Git, and Copado — including pipeline configuration, branch strategy, and quality gate rules
• Manage scratch org strategy, unlocked packages, and metadata conflict resolution across multi-sandbox environments
• Use CodeScan and PMD as automated code quality gates within the Copado pipeline
• Author deployment runbooks, rollback plans, and environment promotion documentation (Dev > UAT > Production)

About NETGEAR

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