Senior Software Engineer - Production Control Plane
Build and operate Snowflake’s multi-cloud capacity platform for CPU and GPU procurement, allocation, forecasting, and utilization. The role requires 7+ years of large-scale production systems experience, cloud fleet provisioning expertise, and strong programming and troubleshooting skills.
About the job
Responsibilities
- Design and build a capacity platform unifying CPU and GPU allocation, procurement, reservation lifecycle, and utilization across AWS, Azure, and Google Cloud.
- Own a canonical capacity data layer that reconciles demand forecasts, provider supply signals, commitments, and fleet utilization.
- Manage integrations and vendor relationships with cloud service providers.
- Build planning and allocation systems that translate demand into hardware requirements and surface supply risks.
- Instrument CPU and GPU accelerator utilization, establish price/performance baselines, recover stranded capacity, and right-size commitments.
- Evaluate new CPU and GPU generations and build backup and cross-family fallback capabilities.
- Partner with core services, warehouse, AI/ML, and finance teams on forecasting, procurement, launches, and allocation decisions.
- Participate in on-call rotations and incident management to ensure system availability, reliability, and performance.
Requirements
- 7+ years of industry experience designing, building, and supporting large-scale production systems.
- Hands-on experience provisioning compute clusters and cloud services with cloud providers, including CPU and/or GPU fleets.
- Experience with capacity planning, procurement, resource management, or efficiency work in private or public clouds.
- Deep systems and architectural analysis experience across CPU and GPU accelerator fleets.
- Proficiency in Go, Python, or Java.
- Excellent problem-solving and production troubleshooting skills.
- Strong communication and collaboration skills.
- BS or MS in Computer Science, Engineering, or a related field.
Nice-to-haves
- Experience with observability infrastructure such as OpenTelemetry or Prometheus.
- Familiarity with accelerator/GPU fleets, hardware price/performance analysis, or Kubernetes at scale.
- Background in modeling, forecasting, cloud spend optimization, or LLMs.
Skills
Go, Python, Java, AWS, Microsoft Azure, GCP, Kubernetes, OpenTelemetry, Prometheus, Capacity Planning, Cloud Spend Optimization, LLMs
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