Capacity Engineer, Compute (San Francisco) Job at The Rundown AI, Inc., San Francisco, CA

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  • The Rundown AI, Inc.
  • San Francisco, CA

Job Description

About the role

The mission of the Compute team is to provide input into our company-wide cloud infrastructure strategy and efficiency deliverables, advise on key decisions affecting budget, and provide capacity planning and performance expertise to various anthropic-wide stakeholders in finance and engineering leadership. As an early member of this team, you would be required to work with engineering teams to ensure optimal operation and growth of our infrastructure from both a cost and technology perspective and collaborate cross-functionally with finance and data science partners to analyze and forecast growth.

Responsibilities:

  • Develop self-service tools and processes to enable anthropic engineers to understand their capacity, efficiency, and costs
  • Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes
  • Institute and design governance workflows to help manage additional capacity request approvals
  • Investigate new capacity requests to ensure the best use of resources and that instances are sized appropriately
  • Build and drive cost to serve analytics programs to guide engineering, finance, and leadership on the total cost (TCO) and infrastructure impact of our scaling factors. Inform pricing conversations through customer profile sensitive gross margin analysis.
  • Tech lead with outside vendors to manage anthropic capacity needs
  • Proactively identify infrastructure inefficiency opportunities, document proposal and be a key contributor in driving a positive outcome
  • Serve as an advisor to engineering and finance functions and executive team for one of the largest areas of expenditure
  • Work closely with TPMs on special efficiency projects and help deliver committed outcomes

You may be a good fit if you:

  • 5+ years experience in capacity engineering
  • 5+ years experience in a technical role
  • Intermediate knowledge of various public cloud providers
  • Experience with data modeling for public cloud
  • Experience with budgeting, capacity planning experience, and cloud efficiency optimization workflows
  • Experience in scripting and building automation tools
  • Self-disciplined and thrives in fast paced environments
  • Excellent communication skills
  • Familiarity with cloud compute, storage, network, and services
  • Attention to detail and a passion for correctness

Deadline to apply: None. Applications will be reviewed on a rolling basis.

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Job Tags

Full time,

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