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Menlo Park, California, United States
Hybrid
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 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.
We are hiring a Senior Software Engineer for the Observe Data Management team. This team owns the core pipelines that ingest and process over 1 petabyte of telemetry data per day — the foundational infrastructure powering Observe's entire observability stack. You'll be working at the intersection of massive scale, open-source innovation, and real-world reliability challenges for enterprise customers around the globe.
Design, build, and scale high-throughput data ingestion and processing pipelines handling petabyte-scale telemetry — logs, metrics, traces, and events
Develop performance-critical, distributed systems components in Go and/or C++ that operate reliably across AWS and Azure
Contribute to OpenTelemetry and drive Observe's open-source strategy, including external community engagement and upstream contributions
Architect solutions that maintain enterprise-grade availability and low latency under extreme data volumes
Collaborate with SRE, product, and platform teams to define data reliability standards and improve detection-to-resolution times for customers
Debug and resolve complex distributed systems issues at the deepest layers of the stack
Help shape the technical roadmap for the Data Management team and mentor engineers across the organization
5+ years of software engineering experience with deep expertise in distributed systems
Proficiency in Go and/or C++, with an ability to write high-performance, production-grade systems code
Demonstrated experience designing and operating large-scale data ingestion or stream processing pipelines
A strong sense of user empathy and product intuition — you think beyond APIs and care about end-to-end data onboarding and management experience.
Hands-on experience building and running services across major cloud providers (AWS and/or Azure)
Strong fundamentals in systems programming: concurrency, memory management, networking, and I/O
A track record of solving hard infrastructure or platform engineering problems at scale
B.S. in Computer Science, Engineering, or equivalent practical experience
Experience with OpenTelemetry SDKs, instrumentation, or ecosystem tooling
Prior open-source contributions or project maintainership
Familiarity with Apache Iceberg or other open table formats and data lakehouse architectures
Background in observability, monitoring, or SRE
Experience with multi-cloud data infrastructure or telemetry platforms at petabyte scale
The Observe team is building the future of AI-powered observability — from the ground up, at a scale few engineering teams ever touch. You'll have genuine ownership over systems that ingest and make sense of a petabyte of data per day, with a direct line from your work to the reliability and speed of enterprise customers who depend on Observe every hour of every day. And as part of Snowflake, you'll do it with the backing of one of the world's leading data platforms, while still moving with the velocity and ownership culture of a focused product team.
How do you want to make your impact?
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