Base Salary
$200k - $288k/yr
Responsibilities
- Design, develop, and maintain scalable monitoring solutions for cloud cost and efficiency.
- Build tools and automation for system monitoring, alerting, and root cause analysis.
- Improve data ingestion, storage, and query efficiency for cloud efficiency data at scale.
- Collaborate across Snowflake to understand monitoring needs and improve operational visibility.
- Contribute to open-source projects and industry best practices in monitoring and distributed systems monitoring.
- Support high availability, reliability, and performance through on-call rotations and incident management.
- Drive engineering strategy and deliverables with clear company impact.
Requirements
- 5+ years of industry experience designing, building, and supporting large-scale production systems.
- Proficiency in Go, Python, or Java.
- Strong problem-solving and troubleshooting abilities in production environments.
- Strong communication and collaboration skills.
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- Experience developing or using observability infrastructure such as OpenTelemetry or Prometheus is preferred.
- Prior experience working with large language models is preferred.
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.