Lead Salesforce Developer
Dooly
What you'll be doing:
- Salesforce Development & Architecture:
- Design and build scalable, secure solutions using Apex, LWC, SOQL, and custom metadata types.
- Extend and optimize Appinium’s managed packages to support AI-driven content workflows, transcription, and personalization.
- Build reusable Experience Cloud components that support Agentforce-powered coaching and guidance experiences.
- Architect and implement real-time and batch integrations with Salesforce Data Cloud for identity resolution, segmentation, and event processing.
- Support Salesforce DX workflows for metadata-driven development and deployment.
- Platform Innovation & AI Enablement:
- Collaborate on implementation of Agentforce templates, use cases, and real-time content delivery using Salesforce Model Context Protocol (MCP).
- Contribute to the development of platform features that contextualize AI recommendations using first-party data and behavioral signals from Data Cloud.
- CI/CD, DevOps & Quality:
- Contribute to Git-based workflows and Azure DevOps Pipelines for deployment, packaging, and release automation.
- Write and maintain robust test classes ensuring high code coverage and reliability across Appinium’s managed packages.
- Support performance profiling, error handling, and governor limit optimization.
- Team Leadership & Best Practices:
- Lead technical design reviews, enforce Salesforce security and platform governance standards.
- Mentor developers, review code, and contribute to platform documentation and internal libraries.
- Help define and evolve internal reference architectures, component libraries, and usage patterns.
We would love to work with you if you have:
- 5+ years of Salesforce development experience, including LWC, Apex, SOQL, Flow, and Experience Cloud (Aura and LWR).
- Deep understanding of Salesforce platform architecture, governor limits, event-driven frameworks, and deployment patterns.
- Salesforce Platform Developer I & II certifications (Required).
- Experience working with managed/unlocked packages, namespaces, and Salesforce ISV best practices.
- Hands-on experience integrating Salesforce Data Cloud, using calculated insights, segments, and activation mechanisms.
- Solid grasp of Salesforce authentication, Connected Apps, Named Credentials, and external API integrations.
- Experience working in an enterprise CI/CD environment (Azure DevOps, SFDX, Unlocked/Managed Packages).
- Excellent problem-solving skills, with a passion for building high-performance, scalable solutions.
Preferred Skills:
- Experience implementing Salesforce Data Cloud, including Zero Copy access, Einstein 1 Data Layer, and Segmentation Designer.
- Familiarity with Agentforce, Model Context Protocol (MCP), and conversational AI design patterns.
- Experience building solutions that integrate with AI services (e.g., Azure AI, Deepgram, OpenAI) for transcription, Q&A, or coaching workflows.
- Prior experience with AppExchange apps, License Management App (LMA), and versioned release strategies.
- Salesforce Architect certifications (any of the following preferred):