2 months ago
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.
- Optimize data ingestion, storage, and query performance for cloud efficiency data at scale.
- Collaborate with teams across Snowflake to implement solutions that improve operational visibility.
- Contribute to open-source projects and industry best practices in monitoring and distributed systems.
- Support high availability, reliability, and performance through on-call rotations and incident management.
- Drive technical strategy and deliverables for measurable company impact.
Requirements
- 7+ years of industry experience designing, building, and supporting large-scale production systems.
- Experience with cost optimization and efficiency work on large private or public cloud systems.
- Deep system and architectural analysis experience identifying actionable performance and efficiency insights.
- History of delivering large cross-functional projects with measurable impact.
- Proficiency in Go, Python, or Java.
- Strong production troubleshooting and problem-solving skills.
- 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 LLMs is preferred.
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.