We are looking for a Senior Backend / Fullstack Engineer to join our team and help us build a robust data integration and automation platform around our internal knowledge system, Atlas. This role will focus on backend systems, database design, and API orchestration, with a strong emphasis on data synchronization and workflow automation.

You will be working with technologies like Notion, Supabase, Node.js, and various third-party APIs to automate and improve how data is structured, accessed, and maintained across platforms.

You’ll also contribute to the development of a custom knowledge management tool that goes beyond the limitations of Notion, enabling complex data queries and improved interoperability with AI assistants and future systems.

Key Responsibilities

• Design and implement backend systems for data synchronization between Notion and external databases/workflows.
• Model hierarchical data structures and implement scalable storage solutions (e.g., Supabase).
• Build tools to automate the Atlas edit workflow, detecting document structure changes and generating proposals.
• Develop integrations with third-party APIs and orchestrate data flows across services.
• Collaborate with cross-functional teams to define system architecture and ensure technical alignment.
• Research and contribute to building a custom knowledge management platform (e.g., using Model C Protocol Servers).
• Advocate for and implement AI-assisted tooling within the workflow.

• 
  5+ years of experience building production-level backend services.
• Strong proficiency in JavaScript / TypeScript.
• Experience with Python, Go, Rust, or Java is a plus.
• Solid knowledge of SQL databases, with ability to design and query relational and graph-based schemas.
• Experience working with Notion APIs (Node.js) and orchestrating third-party APIs.
• Familiarity with pagination, rate limits, and structured data formats.
• Ability to design and implement efficient algorithms.
• Experience with Supabase or equivalent modern DB platforms.
• Strong communication and technical documentation skills.
• Comfortable working with AI assistants and integrating them into daily workflows.
• Research mindset – open to exploring and integrating new technologies and protocols.