Senior Backend / Fullstack Engineer

Job description

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

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Design and implement backend systems for data synchronization between Notion and external databases/workflows.

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Model hierarchical data structures and implement scalable storage solutions (e.g., Supabase).

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Build tools to automate the Atlas edit workflow, detecting document structure changes and generating proposals.

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Develop integrations with third-party APIs and orchestrate data flows across services.

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Collaborate with cross-functional teams to define system architecture and ensure technical alignment.

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Research and contribute to building a custom knowledge management platform (e.g., using Model C Protocol Servers).

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Advocate for and implement AI-assisted tooling within the workflow.

Job requirements

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5+ years of experience building production-level backend services.

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Strong proficiency in JavaScript / TypeScript.

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Experience with Python, Go, Rust, or Java is a plus.

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Solid knowledge of SQL databases, with ability to design and query relational and graph-based schemas.

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Experience working with Notion APIs (Node.js) and orchestrating third-party APIs.

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Familiarity with pagination, rate limits, and structured data formats.

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Ability to design and implement efficient algorithms.

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Experience with Supabase or equivalent modern DB platforms.

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Strong communication and technical documentation skills.

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Comfortable working with AI assistants and integrating them into daily workflows.

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Research mindset – open to exploring and integrating new technologies and protocols.

All done!

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