Staff-level engineer owning design and operations of Snowflake's large-scale Kubernetes container platform across AWS, Azure, and GCP. Focus on reliability, automation, and developer experience for internal engineering teams.
236k – 339k/yr
HybridDevOps / SRE
About the role
What You'll Do
Own the design and delivery of large, complex platform initiatives spanning cluster lifecycle management, multi-cloud automation, and internal developer tooling.
Identify and drive cross-team technical improvements across the platform, from architecture through adoption.
Make and defend architectural trade-offs grounded in reliability, scalability, and operational reality.
Act as a technical anchor for the team, developing expertise in others, raising engineering standards, and being the person engineers turn to on hard problems.
Treat internal engineers as your primary customers and measure success by their velocity and the reliability of their experience on the platform.
What We're Looking For
Significant experience designing and operating large-scale distributed systems in production.
Experience owning Kubernetes or similar orchestration systems in production at scale: cluster lifecycle, upgrades, and fleet management across a large heterogeneous fleet.
Proficient in Go or a comparable systems language.
Experience operating across multiple clouds (AWS, Azure, GCP).
Nice to Have
Experience with GPU infrastructure or AI/ML training workloads at scale.
Open source contributions to Kubernetes or related ecosystem projects.
Staff Software Engineer building AI-first developer platforms and tooling to power Snowsight and Snowflake Intelligence. Requires 7+ years building tools for large codebases, fluency in Go/Java/Python, and passion for AI/LLM applications and 10x developer productivity.
236k – 339k/yr
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