Cloud Infrastructure Cost Analyst (FinOps)

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Description

Qdrant is an open-source vector search engine powering the next generation of AI applications, from semantic search and retrieval-augmented generation (RAG) to AI agents and real-time recommendations. Trusted by global leaders like Canva, HubSpot, Tripadvisor, Bosch, and Deutsche Telekom , we’re building the retrieval infrastructure layer for modern AI. Recently raising $50M in Series B funding, we are growing rapidly and committed to transforming how AI understands and interacts with data. As a remote-first company, we believe diverse backgrounds, perspectives, and experiences fuel innovation. Here, you’ll own meaningful work, tackle challenges, and grow alongside passionate individuals dedicated to shaping the future of AI. We are looking for a Cloud Infrastructure Cost Analyst to help us understand, forecast, and optimize the cost structure of our cloud-based products. This role sits between engineering, finance, and data analytics. You will work closely with our Cloud Engineering team to understand how architectural decisions impact infrastructure cost and help the company make better data-driven decisions around scaling, resources, pricing, and usage. You should be comfortable diving into cloud infrastructure concepts, analyzing usage data, and building tools and reports that help engineering, finance, and sales understand the economics of our platform. What you will own Analyze cloud usage and infrastructure spend to understand the main cost drivers across our platform. g. free vs paid tier usage, POC environments, product-level cost). Work closely with the Cloud Engineering team to understand how architecture and resource usage affect cost. Develop models to estimate cost per customer, feature, or workload. Forecast infrastructure spend based on usage trends and upcoming changes in our architecture. g. savings plans, resource sizing, usage patterns). Build int

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