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Lead Salesforce Full Stack AI Engineer

Job Overview

Elastic is looking for a Lead Salesforce Engineer who combines deep architectural intuition, clean coding, and sharp debugging skills with an AI-native workflow using tools like Cursor, Claude Code, or Codex across the entire stack.

Key points

  1. Design, build, and ship full-stack features end-to-end — UI, APIs, business logic, data models, and integrations — with a strong bias for clean…

  2. Build modern frontend experiences (component-based UI, responsive design) and robust backend services and APIs, applying solid object-oriented and software design principles.

  3. Use AI-assisted development tools — Cursor, Claude Code, Codex, GitHub Copilot, or similar — throughout the SDLC: scaffolding, refactoring, test generation, debugging…

  4. Design and implement integrations using REST APIs, event-driven patterns, and enterprise integration practices.

  5. Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.

  6. Proficiency in modern frontend technologies (JavaScript/TypeScript, HTML, CSS, modern frameworks) and backend development (object-oriented programming, RESTful API design, databases/SQL, data modeling).

  7. Hands-on, daily experience using AI-assisted coding tools such as Cursor, Claude Code, Codex, GitHub Copilot…

  8. Solid grounding in software design patterns, SDLC, Agile methodologies, Git, and CI/CD practices.

Skills

SalesforceGitREST APIsCI/CDAgileJavaScriptTypeScriptSQL

Experience: Senior-level · 12+ years

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