Senior Software Engineer - Observe by Snowflake, AI Products
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.
About the job
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)
Skills
TypeScript, Node.js, Express.Js, Hono, Vercel Ai Sdk, Anthropic Agent Sdk, LangGraph, Tanstack Ai Sdk, Mcp, Bun, REST APIs, LLMs
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