PHP Backend Developer (AI-Assisted Development) at SnappyCX

What You’ll Do

• Build, modify, and maintain multi-step lead-capture flows and web experiences
• Develop backend functionality using PHP and MySQL
• Integrate and troubleshoot third-party APIs
• Create and maintain logging, reporting, and analytics solutions
• Improve conversion performance through iteration and optimization
• Write maintainable, reusable, and production-safe code
• Work within existing systems and improve legacy implementations where needed
• Collaborate asynchronously with the engineering team and communicate progress clearly

Required Qualifications

• 3+ years of full-time professional PHP development experience working on a team
• Hands-on experience using AI coding tools in production environments
  (Claude Code preferred; experience with Cursor, GitHub Copilot, Windsurf, or similar AI-assisted development tools accepted)
• Intermediate to Advanced MySQL experience including:
  • Schema design
  • Query writing and optimization
  • Safely updating production data
• Intermediate to Advanced JavaScript skills:
  • Strong vanilla JavaScript
  • DOM manipulation
  • Events
  • Fetch / async operations
  • JSON handling
• Intermediate to Advanced CSS skills:
  • Responsive and mobile-first development
  • Cross-browser compatibility
  • CSS custom properties
• Experience with Git and collaborative development workflows
• Strong written and verbal English communication
• Ability to independently solve problems and work with minimal supervision
• Comfortable maintaining and improving existing or legacy codebases

Nice to Have

• Go (Golang)
• Python
• AWS experience (EC2, Lightsail, Apache configuration, deployments)
• PostgreSQL
• Linux / Shell experience (SSH, deployments, cron, command line)
• Experience with:
  • Multi-step form flows
  • Lead generation
  • Performance marketing
  • Conversion funnel analytics
• Experience integrating and debugging REST APIs

What Success Looks Like

• Independently ships production-ready flow updates
• Uses AI coding tools effectively while maintaining code quality
• Builds reliable logging and reporting solutions
• Delivers clean API integrations with proper error handling
• Communicates proactively and requires minimal oversight