Senior Salesforce Engineer
Senior Salesforce Engineer responsible for developing customized Salesforce solutions, leading development projects, building event-driven integrations, and owning CI/CD pipelines for enterprise-scale Sales and Service Cloud implementations.
Responsibilities
- Leverage AI-assisted development tools (Cursor, Claude, GitHub Copilot) to accelerate delivery and code quality
- Develop world class technical solutions to support critical business objectives
- Lead projects throughout key phases of the Salesforce development lifecycle
- Improve platform code performance, security, scalability, and reliability by identifying process bottlenecks, data issues, and inconsistencies
- Design and implement feature flag strategies for safe, decoupled deployments
- Drive test automation modernization (mocking/stubbing, selective test execution, sub-10-min validation)
- Build event-driven integrations using Platform Events, Change Data Capture, and Pub/Sub API
- Contribute to developer experience tooling — sandbox automation, deployment scripts, AI-powered code review
- Own CI/CD pipeline health — build, test, and deploy automation
- Collaborate with business partners, engineers, and business systems analysts to determine CRM needs and help implement best practices
Requirements
- 8+ years of Salesforce development experience supporting enterprise scale solutions leveraging Sales Cloud & Service Cloud
- Experience with CI/CD pipelines (Buildkite, GitHub Actions, or similar) for Salesforce deployments
- Familiarity with AI-assisted development workflows and prompt engineering for code generation
- Experience with trunk-based development, feature branching, and delta deployment strategies
- Knowledge of event-driven architecture patterns (Platform Events, CDC, Pub/Sub API)
- Experience with test optimization — mocking frameworks, selective test execution, parallel testing
- Extensive development experience using Apex, Triggers, Visualforce, Lightning Components, Web Services, and Salesforce API (REST/SOAP/MetaData)
- Hands-on experience with Salesforce Administration including configuration, standard data model, security, and automations such as validation rules, workflows, process flows
- Experience and knowledge of relational databases, data modeling, and ETL tools
- Excellent written and verbal communication skills
Nice-to-Haves
- Experience with CPQ and quote to cash processes
- Experience building or consuming AI/LLM-powered agents or automation
- Familiarity with infrastructure-as-code for Salesforce environments (sandbox seeding, metadata automation)
- Experience with observability tools (Datadog, Splunk) for production Salesforce monitoring
- Knowledge of Salesforce DevOps Center or similar source-tracking tools
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