Cloud Infrastructure Cost Analyst (FinOps)
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
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.
Tasks
- 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
- Shape the future of AI infrastructure
- Work with a globally distributed high-talent team
- Competitive compensation equity
- Remote-first culture
Candidates please submit a short non-AI-generated cover letter and explain why you think you are a great fit for this role.
Key Skills
About Company
Qdrant is powering the next generation of AI applications with advanced, high-performant vector similarity search technology. Our flagship product is the leading open-source Vector Search Engine. https://github.com/qdrant/qdrant
