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Senior Frontend Engineer (AI Product, Observe by Snowflake)
Snowflake · Menlo Park, CA, United States
About The Role
Join Observe by Snowflake, an AI-powered observability platform. As a Senior Frontend Engineer, you'll focus on user experience and product development. You'll work on AI-powered products, developer tooling, and internal tools that impact the engineering team. You'll own features end-to-end, build the AI SRE product, develop Slack integration, create CLI tooling, and expand Model Context Protocol integrations. You'll collaborate closely with product and design teams. Benefits include comprehensive health insurance, retirement plans, generous time-off, and more.
- Concevoir et consommer des API RESTful avec confiance, en travaillant à la fois en tant que producteur et consommateur.
- Posséder des fonctionnalités de bout en bout à travers la pile complète, de la conception de l'API et de la logique backend à l'expérience frontale.
- Collaborer étroitement avec les équipes produit et design pour garantir que chaque fonctionnalité est aussi réfléchie en termes d'expérience utilisateur qu'en termes d'implémentation.
- The ability to move quickly in a fast-moving codebase without sacrificing quality or maintainability
- A BS/MS in Computer Science, Engineering, or equivalent experience
- Strong proficiency in TypeScript, this is a core requirement for the role
- Experience building or working with agentic AI systems and tool-use patterns, using SDKs such as the Vercel AI SDK, Anthropic Agent SDK, LangGraph, or Tanstack AI SDK
- Experience implementing MCP (Model Context Protocol) servers over HTTP
- Experience building agent-first CLI systems using Node.js or Bun
- Experience with server-side Node.js frameworks such as Express.js, Hono, or similar
- Demonstrated experience building full-stack web applications, with comfort across backend logic, API design, and frontend surfaces
- A product mindset, you care as much about the user experience as the implementation details
- Hands-on experience with LLMs, agents, and evaluation (evals) pipelines in production environments
- Experience with Bun as a runtime
- Prior work on developer tooling, internal platforms, or productivity infrastructure that directly shaped how an engineering team operates
- Familiarity with Observe's platform or the broader observability ecosystem (logs, metrics, traces, APM)
- Contributions to open-source AI, tooling, or observability projects
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