Senior Software Engineer - Capacity

The available sources do not contain information about the company name for rounx.com.; United States; On-site; USD 140,000 - 200,000; Full time

Job summary

Snowflake is seeking a Senior Software Engineer for the Capacity Engineering team to build a centralized platform that models demand, forecasts requirements, and optimizes resource utilization across AWS, Azure, and GCP.

You will own the canonical capacity data layer, integrate with cloud providers, and develop tools for real-time fleet visibility and cost optimization. Collaboration with cross-functional teams will support AI/ML workloads and ensure high availability of systems.

Qualifications

• 7+ years of experience in large-scale system design and production support.
• Hands-on experience with cloud infrastructure and capacity planning.
• Strong problem-solving and troubleshooting skills.
• Experience with observability tools and Kubernetes is a plus.

Responsibilities

• Own the canonical capacity data layer and drive its evolution.
• Integrate with AWS, Azure, and GCP to manage capacity and provisioning.
• Develop tools for real-time fleet visibility and cost optimization.
• Collaborate with cross-functional teams to support AI/ML workloads.
• Ensure high availability of critical capacity management systems.

Skills

Go

Python

Java

Cloud infrastructure

Capacity planning

Tools

Kubernetes

Observability tools

GPU fleets

Job description

Snowflake is seeking a Senior Software Engineer to join the Capacity Engineering team, focused on building a centralized platform that manages CPU and GPU capacity across AWS, Azure, and GCP. The role involves designing systems to model demand, forecast requirements, and optimize resource utilization while ensuring efficient procurement and reservation lifecycle management. Responsibilities include owning a canonical capacity data layer, integrating with cloud providers, and developing tools for real-time fleet visibility, hardware evolution analysis, and cost optimization. The engineer will also collaborate with cross-functional teams to support AI/ML workloads and ensure high availability of critical systems.

The ideal candidate has 7+ years of experience in large-scale system design and production support, with hands-on expertise in cloud infrastructure, capacity planning, and resource management. Proficiency in Go, Python, or Java is required, along with strong problem-solving skills and the ability to troubleshoot complex issues. Experience with observability tools, GPU fleets, Kubernetes, or cloud cost optimization is a plus. This role requires collaboration across teams and a commitment to driving impactful engineering solutions in a fast-paced environment.