Senior Software Engineer, Observe by Snowflake Frontend

Job details

Work model

On-site

Salary

$200K - $287.5K

Location

US-CA-Menlo Park

Occupation

Software Developers(O*NET 15-1252.00)

Company website

app.snowflake.com

Hiring context

How this role compares at Snowflake

Snowflake has 366 live roles in MeritLog’s catalog across 10 job families, and 153 of them are in engineering. 248 of those listings publish a pay range, a disclosure rate of 68%.

This role's posted range of $200K - $287.5K sits above 64% of the 241 other Snowflake roles quoted over the same currency and period.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

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. IN THIS ROLE YOU WILL: - 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. QUALIFICATIONS: - 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. BONUS POINTS: - 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. Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential. 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 http://careers.snowflake.com