Senior Software Engineer, Observe by Snowflake Frontend
About The Position
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.
Requirements
- 7+ years of industry experience building and maintaining complex enterprise applications.
- Deep day-to-day knowledge of React, JavaScript, and TypeScript.
- The ability to balance functionality, delivery speed, and the unique performance challenges of AI-integrated frontends (e.g., streaming responses, optimistic UI updates).
- A drive to understand how frontend development—and specifically Human-AI Interaction (HAI)—impacts the overall customer experience.
- A proactive approach to learning, especially regarding the evolving ecosystem of AI frameworks and frontend integration patterns.
Nice To Haves
- Experience with commercial dashboarding products (e.g., Splunk, Datadog, Looker) or integrating AI into BI tools.
- Deep knowledge of the DOM, CSS, Canvas, and XHR, specifically for optimizing the rendering of large-scale AI data sets.
Responsibilities
- Develop interactive, data-rich user interfaces using React, TypeScript, and Vega, with a focus on integrating LLM-driven features (e.g., natural language querying, generative UI, and AI-assisted data storytelling).
- Lead the end-to-end delivery of substantial product features, ensuring AI outputs are presented with high reliability and low latency.
- Work closely with PMs, UX designers, and AI/ML engineers to bridge the gap between complex model outputs and intuitive user experiences.
- Be a strong contributor to team planning, specifically identifying opportunities where Generative AI can simplify complex technical workflows for our users.
- Champion the use of AI-assisted development tools (e.g., GitHub Copilot, Cursor) to maintain high code quality and accelerate delivery.
Benefits
- 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
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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
