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.
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
We are looking for a Senior Engineer in Observability to help define and build the next generation of AI powered observability for Snowflake’s global data platform. This role sits at the intersection of large scale distributed systems, telemetry pipelines, and machine intelligence, enabling engineers and customers to understand, diagnose, and optimize complex workloads in real time. You will play a key role in evolving Snowflake’s observability stack into an intelligent, autonomous system that not only detects issues but predicts and prevents them.
AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL:
- Design and build large scale telemetry pipelines that ingest, process, and analyze metrics, logs, and traces across Snowflake’s multi cloud platform
- Architect AI driven observability systems that leverage machine learning for anomaly detection, root cause analysis, and predictive insights
- Partner with Snowflake teams to embed observability deeply into all layers of the platform
- Define and drive standards for instrumentation, tracing, and telemetry across services
- Build tools and platforms that empower engineers with deep visibility into system behavior and performance
- Optimize observability systems for high scale, low latency, and cost efficiency
- Mentor engineers and provide technical leadership in distributed systems, observability, and AI driven diagnostics
- Stay at the forefront of industry trends in observability, including OpenTelemetry and AI based monitoring approaches
OUR IDEAL STAFF SOFTWARE ENGINEER WILL HAVE:
- 7+ years of experience in software engineering with a strong focus on distributed systems
- Deep experience building and operating large scale cloud services
- Strong programming skills in languages such as Java, Scala, C++, or Python
- Solid understanding of system performance, debugging, and reliability engineering principles
- Experience with cloud platforms such as AWS, Azure, or GCP
- Proven ability to lead complex technical projects and influence architecture decisions
- Strong problem solving skills and ability to work in a fast paced environment
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
- Experience designing telemetry systems including metrics, logging, and distributed tracing
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
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