Lead Salesforce AI-Driven Full-Stack Engineer

Elastic; United States; On-site; USD 150,000 - 230,000; Full time

Job summary

Elastic is seeking a Lead Salesforce Engineer to blend architectural intuition with AI-native tooling across the full stack, focusing on Salesforce and MuleSoft integrations with end-to-end ownership. You will elevate engineering practices and drive impactful automations that reduce manual work.

You will design and ship features end-to-end, build robust frontend and backend services, and leverage AI-assisted coding tools throughout the SDLC, while adhering to governance and security standards.

Qualifications

• 10+ years of professional full-stack software engineering experience.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.

Responsibilities

• Design, build, and ship full-stack features end-to-end - UI, APIs, business logic, data models, and integrations.
• Build modern frontend experiences and robust backend services and APIs.
• Use AI-assisted development tools throughout the SDLC: scaffolding, refactoring, test generation, debugging, and code review.

Skills

Full-stack engineering

Salesforce

LWC

Apex

SOQL

AI-assisted coding

REST APIs

CI/CD

Agile

JavaScript/TypeScript

Education

Bachelor's degree in Computer Science or related

Tools

Cursor

Claude Code

Codex

GitHub Copilot

Job description

Elastic is seeking a Lead Salesforce Engineer to blend architectural intuition with AI-native tooling across the full stack, focusing on Salesforce and MuleSoft integrations with end-to-end ownership. You will elevate engineering practices and drive impactful automations that reduce manual work.

You will design and ship features end-to-end, build robust frontend and backend services, and leverage AI-assisted coding tools throughout the SDLC, while adhering to governance and security standards.