Senior Backend Engineer

CreatorIQ is the operating system for creator-led growth trusted by more than 1,300 global brands and agencies. Powered by the Creator Graph™, which processes more than 250 million social posts daily across more than 15 million creators worldwide, CreatorIQ unifies fragmented platform data into a centralized intelligence layer and system of record for creator relationships, performance, governance, and commerce. CreatorIQ is a global company headquartered in Los Angeles with offices in Austin, New York, San Francisco, London, Manila, and Warsaw.

• 5+ years of professional backend engineering experience.
• Expert-level PHP experience on enterprise-grade, production systems.
• Strong backend experience with Node.js.
• Hands-on experience refactoring or decomposing monolithic architectures into modular services.
• Strong background in API design (REST and GraphQL) and backend architecture.
• Experience with AWS, particularly Lambda and serverless patterns.
• Experience writing testable code and maintaining automated test suites.
• Experience using AI coding tools (e.g., GitHub Copilot, ChatGPT, Claude Code, Cursor) within IDEs such as VS Code or PhpStorm, including critically reviewing and refining AI-generated code.
• Fluency in English, written and spoken.
• Highly proactive and self-directed, with strong communication skills in a remote, async-first environment.

• Develop a deep understanding of the existing PHP monolithic codebase and progressively extract it into modular, service-oriented components.
• Design, build, and maintain scalable, testable, and reusable backend services in PHP and Node.js.
• Design and maintain robust RESTful and GraphQL APIs.
• Lead refactoring efforts that improve performance, readability, and long-term maintainability of core systems.
• Build, deploy, and operate services on AWS, including Lambda and API Gateway.
• Write and maintain unit and integration tests to ensure reliability across releases.
• Critically review, validate, and improve AI-generated code.
• Identify technical risks, bottlenecks, and opportunities for improvement across the platform.
• Communicate technical decisions and trade-offs clearly in writing and through short video walkthroughs, collaborating across a remote, async-first, cross-timezone team.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications and note taking during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.