Cloud Infrastructure Cost Analyst (FinOps)

Qdrant
Paris, Amsterdam, Madrid, Berlin
Workplace: RemoteFull timeFunction: Finance & AccountingSkills: ["Analytical skills","Data analysis","Forecasting","Cross-functional collaboration"]

Own cloud cost analysis for a remote-first AI infrastructure team, partnering with Cloud Engineering, finance, and data analytics. Analyze usage and infrastructure spend, build dashboards and cost reports, and develop cost models to estimate cost per customer, feature, or workload. Forecast spend from usage trends and architecture changes, identify optimization opportunities, and support pricing, deal modeling, and infrastructure planning.

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Qdrant
Qdrant
4 months ago

Cloud Infrastructure Cost Analyst (FinOps)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Closed

Job Summary

Own cloud cost analysis for a remote-first AI infrastructure team, partnering with Cloud Engineering, finance, and data analytics. Analyze usage and infrastructure spend, build dashboards and cost reports, and develop cost models to estimate cost per customer, feature, or workload. Forecast spend from usage trends and architecture changes, identify optimization opportunities, and support pricing, deal modeling, and infrastructure planning.
Location: Paris, Amsterdam, Madrid, Berlin
Workplace: Remote
Employment Type: Full time
Job Function: Finance & Accounting
Seniority: Mid level

Key Responsibilities

  • •Analyze cloud usage and infrastructure spend to identify key cost drivers across the platform.
  • •Build and maintain infrastructure cost reports and dashboards (e.g., free vs paid tiers, POC environments, product-level cost).
  • •Partner with Cloud Engineering to understand how architecture and resource usage impact cost.
  • •Develop models to estimate cost per customer, feature, or workload and forecast spend based on usage trends and upcoming architecture changes.
  • •Identify cost optimization opportunities and support internal teams with data for pricing, deal modeling, and infrastructure planning.

Pay and Benefits

Perks:401kHealth InsuranceDentalVisionPaid Leave

Key Requirements

  • •Strong analytical skills with experience using Python and SQL.
  • •Experience analyzing large datasets and building reports or dashboards.
  • •Familiarity with AWS, GCP, or Azure and infrastructure components like compute, load balancing, and serverless workloads.
  • •Ability to translate technical usage data into cost models, forecasts, or business insights.
  • •Comfort working with engineers to connect cloud architecture and resource usage to cost.
Skills:Analytical skillsData analysisForecastingCross-functional collaboration
Tech Stack:PythonSQLAWSGCPAzureSnowflake

Company Brief

Qdrant
Develops an open-source, high-performance vector search engine and managed vector database to power semantic search, retrieval-augmented generation, and other AI applications at scale for enterprise customers.
Industry: Data Infrastructure
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Funding: Series A
Headquarters: Berlin, Germany
Founded: 2021
Glassdoor
Glassdoor: 3.4
WebsiteLinkedInGlassdoor