Cloud Infrastructure Cost Analyst – FinOps

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Qdrant

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2021

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Qdrant is a company that builds a high‑performance vector database and managed cloud services for similarity search and AI retrieval. It offers an open‑source, Rust‑based vector engine (Qdrant Vector Database) plus managed offerings (Qdrant Cloud, Hybrid Cloud, Private Cloud, Edge, and Enterprise solutions), optimized for real‑time indexing, hybrid dense+sparse search, multivector retrieval, and large‑scale production deployments. Qdrant is positioned for builders of RAG, semantic search, recommendation systems, AI agents, and anomaly detection, and emphasizes developer APIs, enterprise security/compliance (SOC2, HIPAA options), and deployment flexibility (on‑prem, cloud, hybrid, edge).

📋 Description

• Analyze cloud usage and infrastructure spend to understand the main cost drivers across our platform. • Build and maintain reports on infrastructure cost (e.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. • Identify opportunities for cost optimization (e.g. savings plans, resource sizing, usage patterns). • Build internal dashboards and simple tools to make cloud cost data accessible to engineering, finance, and sales. • Support internal teams with data for pricing, deal modeling, and infrastructure planning.

🎯 Requirements

• Strong analytical skills and experience working with Python and SQL. • Experience analyzing large datasets and building reports or dashboards. • Familiarity with public cloud platforms (AWS, GCP, or Azure) and a basic understanding of infrastructure components such as compute, load balancing, and serverless workloads. • Ability to translate technical usage data into cost models, forecasts, or business insights. • Comfortable working with engineers and understanding how cloud architecture and resource usage affect cost. • Experience working with modern data platforms (e.g. Snowflake or similar). • Nice to have: Experience with cloud cost analysis, FinOps, or infrastructure cost modeling. • Experience working in cloud engineering, DevOps, or infrastructure-heavy environments. • Familiarity with cloud billing tools or cost management tools (AWS Cost Explorer, GCP Billing, etc.). • Experience with forecasting, budgeting, or usage modeling.

🏖️ Benefits

• A remote-first, international team working on cutting-edge AI infrastructure. • A competitive salary with additional perks. • Flexible working hours and async-friendly culture. • High ownership and real impact. • Open-source, engineering-driven culture. • Choose your own laptop equipment. • Comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.