Senior Software Engineer - Observe by Snowflake, AI Products

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)