Senior SWE, AI Backend: Observe by Snowflake

Reposted 2 Days Ago
Be an Early Applicant
Menlo Park, CA, USA
In-Office
200K-288K Annually
Senior level
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
Let's build a world where data and AI turn possibilities into reality.
The Role
Design and build backend systems for Observe's AI product, manage services from end-to-end, and collaborate with product managers and AI engineers.
Summary Generated by Built In

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.

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.

The Team

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.

In this role you will
  • 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

Qualifications
  • 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

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

Skills Required

  • 7+ years of backend engineering experience
  • Strong computer science fundamentals
  • Experience with APIs, data infrastructure, distributed systems
  • Fluency in Go
  • Ability to work across TypeScript and Python
  • Familiarity with evals or LLM quality measurement
  • Strong product sense

Snowflake Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake.

  • Equity Value & Accessibility Equity grants (RSUs) and an ESPP are central to total compensation and are described as highly valuable. Feedback suggests many see equity as a major satisfaction driver with meaningful upside potential.
  • Fair & Transparent Compensation Pay is considered competitive and accompanied by clear communication on salary, equity, and advancement. Feedback suggests pay practices emphasize fairness and transparency.
  • Parental & Family Support Paid parental leave, fertility benefits, adoption assistance, and family planning resources are notably comprehensive. Feedback suggests these programs materially support major life events.

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The Company
HQ: Bozeman, MT
9,023 Employees
Year Founded: 2012

What We Do

Snowflake powers the end-to-end data lifecycle – from ingesting and processing data to analyzing and modeling it, to building and sharing data and AI applications – helping engineers, analysts, and leaders innovate faster and achieve more with their data. We're on a mission to empower every enterprise to achieve its full potential through data and AI.

Why Work With Us

Snowflake is where data does more, and so do you. More innovating, more growing, and more collaborating. Here, you’ll find the sweet spot between building big and moving fast, in technology and your career.

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