Role overview

Senior Salesforce Engineer

Requirements and responsibilities

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You Will

  • 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

You Have

  • 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

Even Better

  • Experience with CPQ and quote to cash processes a plus
  • 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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Browse stack
Focus10416 Engineering - Business PlatformRole area
Seniority signalSeniorCandidate level
StackCI/CD, REST, SalesforcePrimary skills
Location27 accepted countriesEligibility

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