Senior SWE, AI Backend: Observe by Snowflake
About The Position
Observe by Snowflake is an AI-powered observability platform built on the Snowflake AI Data Cloud and engineered for scale. We ingest and store logs, metrics, traces, and events on an open, scalable data lakehouse, using open formats like Apache Iceberg, at dramatically lower cost. A dynamic Context Graph and chat-based AI SRE provide rich context and automated workflows so teams can move from detection to root cause of production issue and resolution 10x faster. Leading engineering teams at companies like Capital One, Topgolf, and Dialpad rely on Observe to troubleshoot hundreds of terabytes of telemetry daily while maintaining reliability at enterprise scale. As part of Snowflake, Observe combines startup-style ownership and velocity with the global reach, operational excellence, and ecosystem of one of the world’s leading data platforms. On the AI Backend team at Observe by Snowflake you'll be at the forefront of how AI is reshaping the way engineering teams operate; building the platform that powers intelligent, automated workflows across observability and beyond. Our team is small, and moves fast, with real ownership over hard problems that span agentic APIs, real-time pipelines, and AI quality. You'll work alongside talented engineers across ML, product, and backend, with the reach and resources of Snowflake behind you. If you want to make a direct impact on a product that engineering teams rely on every day, we'd love to hear from you.
Requirements
- 7+ years of backend engineering experience with a track record of shipping production systems at scale
- Strong computer science fundamentals and backend engineering depth across APIs, data infrastructure, and distributed systems
- Fluency in Go, with the ability to work across TypeScript and Python
- Familiarity with evals or LLM quality measurement and the ability to apply them as part of your day-to-day engineering workflow
- Strong product sense; you understand how backend decisions connect to user outcomes and can engage meaningfully on product direction
Responsibilities
- Design and build backend systems that power Observe's AI product layer from context resolution APIs to real-time alert-to-agent pipelines
- Own services end-to-end across design, implementation, and production reliability
- Bring strong product intuition to technical decisions; understanding how your work connects to user and agent outcomes, and contribute to shaping what gets built
- Collaborate closely with product managers and AI/ML engineers to ship high-quality, well-designed systems in a fast-moving environment
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
