5 months ago
Base Salary
$200k - $288k/yr
Responsibilities
- Own features end to end across API design, backend logic, and frontend experiences.
- Build and evolve Observe’s flagship AI SRE product for AI-powered signal correlation and production issue resolution.
- Develop the AI SRE Slack integration for real-time interaction with the AI SRE agent.
- Build developer-facing CLI tooling, its supporting APIs, and evaluation pipelines for model and system quality.
- Expand Model Context Protocol integrations for agentic AI systems.
- Design and consume RESTful APIs as both a producer and consumer.
- Collaborate with product and design to deliver thoughtful user experiences and implementations.
Requirements
- Strong proficiency in TypeScript is required.
- Demonstrated experience building full-stack web applications 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 Model Context Protocol servers over HTTP.
- Experience building agent-first CLI systems using Node.js or Bun.
- Strong product mindset with attention to user experience and implementation quality.
- Ability to move quickly in a fast-moving codebase without sacrificing quality or maintainability.
- BS or MS in Computer Science, Engineering, or equivalent experience.
- Hands-on production experience with LLMs, agents, and evaluation pipelines is a bonus.
- Experience with Bun as a runtime is a bonus.
- Prior work on developer tooling, internal platforms, or productivity infrastructure is a bonus.
- Contributions to open-source AI, tooling, or observability projects are a bonus.
- Familiarity with Observe’s platform or the broader observability ecosystem is a bonus.
Tech Stack
Categories
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.