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Zapier

Sr. Software Engineer, Knowledge by Zapier (Fullstack)

Posted 5 Hours Ago
Remote
2 Locations
Senior level
Remote
2 Locations
Senior level
The role involves designing and maintaining internal tools and APIs, primarily focusing on backend systems but also contributing to frontend code. The engineer collaborates with AI and infrastructure teams, leads technical initiatives, and enhances developer-facing interfaces.
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About Zapier

We're humans who simply think computers should do more work.

At Zapier, we’re not just making software—we’re building a platform to help millions of businesses globally scale with automation and AI. Our mission is to make automation work for everyone by delivering products that delight our customers. You’ll collaborate with brilliant people, use the latest tools, and leverage the flexibility of remote work. Your work will directly fuel our customers’ success, and as they grow, so will you.

Job Posted: 11/4/2025

Location: Americas

Hi there!

Zapier’s Integration Platform Zone builds the connective tissue for a smarter, more powerful automation platform — one that’s ready for AI-native workflows, enterprise scale, and a new generation of integrations.

We’re hiring a backend leaning Sr. FullStack Engineer to help us expand the Knowledge by Zapier team. Knowledge by Zapier’s mission is to empower all AI tools, internal or external, with knowledge from our 8,000+ integrations. This is done through the Link service, which syncs data from integrations, structures it to be more AI-friendly, and provides powerful retrieval capabilities. This role offers a unique opportunity to shape how Zapier understands and leverages integration data, influencing every AI product we build, and be on the leading edge of AI software products.

If you love designing intuitive systems, working across the stack (with a tilt toward backend), and enabling automation at scale, this is the team for you.


Things You’ll Do:
  • Design, scale, and maintain internal tools, APIs, and user interfaces that unlock the power of files, data, and knowledge across thousands of integrations

  • Work primarily in backend systems, with the ability to contribute to frontend code (React, TypeScript) as needed

  • Partner closely with AI and infrastructure teams to power data syncing, search, structured outputs, and test automation

  • Lead technical initiatives, mentor teammates, and contribute to architectural decisions that set long-term direction for the product

  • Help define and implement improvements to our developer-facing surfaces, including dashboards and docs

About You:

We’re looking for FullStack engineers who bring:

  • Strong backend experience using Python (Django preferred), Node.js, or similar frameworks

  • Familiarity with frontend tools like React and TypeScript, and a willingness to contribute as needed

  • Experience designing and consuming REST APIs, event-based systems, and scalable backend workflows

  • Comfort working across cloud environments, CI/CD pipelines, and observability stacks

  • You value collaboration, pairing, and async communication in a remote team environment

  • You’re customer-focused. Whether internal or external, you care about solving real problems and creating great experiences

  • You love learning and are curious about ambiguous or novel problems. You’re comfortable asking questions, digging in, and figuring things out

  • You’ve used AI tooling for work or personal use—or you are willing to dive in and learn fast. You explore new tools, workflows, and ideas to make things more efficient, and are eager to deepen your understanding of AI and use it regularly

Nice-To-Haves:
  • RAG Background: Experience building or optimizing Retrieval-Augmented Generation (RAG) systems, including designing data pipelines, working with vector databases, or implementing semantic search and structured retrieval to make knowledge more accessible to AI models.

  • LLM experience: Experience building or supporting LLM-powered products in production

  • Feedback & Telemetry: Familiarity with collecting telemetry or usage metrics to inform product improvements.

  • Cross-Codebase Contributions: Comfort navigating and contributing across multiple services and codebases in a large, distributed system.

Top Skills

Ci/Cd
Cloud Environments
Django
Node.js
Python
React
Rest Apis
Typescript

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