# Senior Software Engineer - Observe by Snowflake, AI Products

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA
**Role:** Fullstack Engineering
**Salary:** $200k – $288k/yr
**Skills:** TypeScript, Node.js, Express.Js, Hono, Vercel Ai Sdk, Anthropic Agent Sdk, LangGraph, Tanstack Ai Sdk, Mcp, Bun, REST APIs, LLMs
**Posted:** 2026-04-29

> Build and own end-to-end full-stack features for AI-powered observability products like AI SRE, Slack integrations, CLI tooling, and Model Context Protocol at Observe by Snowflake. Requires strong TypeScript proficiency, Node.js frameworks, and experience with agentic AI systems.

## Job Description

## Responsibilities
- Own features end-to-end across the full stack, from API design and backend logic through to the front-end experience, shipping customer-facing AI products with speed and quality
- Build and evolve the AI SRE product, Observe's flagship tool that helps engineering teams resolve production issues up to 10x faster through AI-powered signal correlation
- Develop the AI SRE Slack integration, creating real-time surfaces that let users interact with the AI SRE agent directly within their existing workflows
- Build developer-facing CLI tooling, the APIs that power it, and evaluation pipelines that ensure model and system quality
- Expand Observe's Model Context Protocol (MCP) integrations, extending the capabilities and reach of our agentic AI systems
- Design and consume RESTful APIs with confidence, working both as a producer and a consumer across a fast-moving, interconnected codebase
- Collaborate closely with product and design to ensure every feature is as thoughtful in user experience as it is in implementation

## Qualifications
- Strong proficiency in **TypeScript**, this is a core requirement for the role
- Demonstrated experience building full-stack web applications, with comfort across backend logic, API design, and frontend surfaces
- Experience with server-side Node.js frameworks such as **Express.js**, **Hono**, or similar
- 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**
- A product mindset, you care as much about the user experience as the implementation details
- 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

## Bonus
- 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
- Contributions to open-source AI, tooling, or observability projects
- Familiarity with Observe's platform or the broader observability ecosystem (**logs**, **metrics**, **traces**, **APM**)

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