• Analyze & Optimize: Actively monitor and analyze costs across our entire technical ecosystem—including multi-cloud infrastructure (AWS, GCP, OCI), on-premise clusters, and third-party services—to identify and execute on opportunities for cost optimization. Develop forecasting models to predict future spend and inform our capacity planning.
• Manage & Commit: Develop and actively manage a multi-million dollar portfolio of Reserved Instances (RIs) and Savings Plans to maximize commitment-based discounts across our global GPU and CPU fleets.
• Automate & Build: Apply a software engineering approach to design, build, and maintain custom tools and automation in Python and SQL. Your systems will track, analyze, and report on costs across our entire fleet of providers and services, with a focus on detecting anomalies immediately.
• Partner & Advise: Working closely as an embedded member of the SRE team, you will partner with fellow SREs and research teams to model the cost implications of new models and infrastructure designs, providing expert guidance on cost-performance trade-offs.
• Visualize & Report: Create and manage a centralized observability stack for cloud costs, building dashboards in tools like Grafana to give a real-time, granular view of our financial posture to all stakeholders.

• You have 5+ years of experience in a technical role such as Site Reliability Engineer, DevOps Engineer, Infrastructure Engineer, or a dedicated Cloud Cost Engineer.
• You have deep, hands-on expertise with the cost models and optimization levers of at least one major cloud provider (AWS, GCP), and a willingness to learn others.
• You are proficient in Python for the purpose of scripting, data analysis, and building automation tooling.
• You have a strong, foundational understanding of cloud infrastructure, including containerization (Docker, Kubernetes), networking, and storage.
• You are not an accountant; you are a systems thinker who is passionate about applying engineering principles to solve financial challenges at scale.
• You are a tenacious troubleshooter and a data-driven decision-maker who thrives on finding the "why" behind the numbers.

• Experience managing a monthly cloud spend in excess of $1 million.
• Relevant certifications, such as the FinOps Certified Practitioner (FOCP).
• Experience building custom cost allocation, showback, or chargeback systems from scratch.
• A background working with large-scale GPU clusters for AI/ML workloads.

Compensation