• 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
• 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
DevOps AND Release Management
• 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)
• Conduct code reviews and enforce SFDX best practices and org-wide coding standards
• Translate business requirements into technical design documents with documented trade-offs
• Mentor junior and mid-level developers through structured code review feedback and pairing
• Actively participate in sprint planning, stand-ups, retrospectives, and backlog grooming as a senior technical voice — not just a code contributor
• Collaborate cross-functionally with business analysts, QA, product owners, and integration teams to bring solutions from requirement to production
• Partner with architects on data model design, sharing rules, and security architecture