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VAST Data is seeking a Cloud FinOps Engineer to join its infrastructure team. The company is a data platform provider for the AI era, building enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets for real-time analysis and AI training/inference. The role is positioned as a key contributor during a pivotal growth phase.
Key Responsibilities:
- Proactively identify and execute cost-saving opportunities through rightsizing, optimized scaling strategies, lifecycle management, and architectural improvements without impacting performance or velocity.
- Collaborate with R&D and DevOps teams to evaluate the cost-impact of architectural decisions, ensuring "cost-by-design" is embedded in infrastructure evolution.
- Design and maintain granular visibility into cloud spend, transforming complex data into actionable insights that inform relevant teams and empower them to take ownership of their usage.
- Take ownership of cost operations across AWS, Azure, GCP, and OCI, establishing consistent tagging policies, automated guardrails, and governance frameworks.
- Manage and optimize the portfolio of Reserved Instances (RIs), Savings Plans, and Spot instances to maximize cloud ROI.
Requirements:
Not explicitly stated in the provided posting text.
