SDE II - Salesforce AI
What is the team like?
Salesforce Engineering is part of the Enterprise Systems solutions. This team helps to create and manage the Salesforce tools/modules/workflow for in-house teams like GTM, Sales Manager, Account Managers, Business teams for their day-to-day operations.
Skillset: Salesforce, Apex (Advanced), LWC, Experience Cloud, CI/CD (Copado/GitHub), Event-Driven Architecture, Performance Optimization, Salesforce Einstein / GenAI integrations
What do we expect from you?
Act as a senior salesforce engineer owning design, development, and delivery of scalable Salesforce solutions. Drive AI-powered features, enforce best practices, and mentor team members.
Minimum Qualifications
- Bachelor's degree in Computer Science or related field
- 4+ years of Salesforce development (Lightning Platform)
- Strong expertise in Apex, LWC, SOQL/SOSL, security model
- Experience with LDV, Governor Limits, and CI/CD (Git/GitHub)
- Exposure to AI/GenAI (Agentforce, Einstein, OpenAI, etc.)
Preferred Qualifications
- Salesforce PD2, Agentforce, or relevant certifications
- Experience with Einstein GPT / AI Cloud / Agentforce
- Event-Driven Architecture (CDC, Platform Events), async processing
- CI/CD tools (Copado, Jenkins, etc.)
- Experience with LLM use cases or prompt engineering
Responsibilities
Technical Ownership & Design
- Design scalable solutions across Salesforce Clouds
- Build and integrate AI-powered capabilities (Einstein, GenAI, LLMs)
- Develop advanced Apex frameworks and LWCs
- Optimize performance (Apex, LWC, LDV)
- Implement secure integrations (APIs, AI/ML services)
- Design data models supporting operational + AI use cases
Leadership & Quality
- Own code quality, reviews, and CI/CD releases
- Mentor junior engineers
- Drive solution design balancing declarative, custom, and AI-driven approaches
