Senior Backend / Fullstack Engineer

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.