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 ownAnalyze 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.
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).
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.
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.
For US-based candidates, we also offer a comprehensive benefits package including 401k match, health, dental, and vision insurance, plus flexible PTO policy.
Qdrant is an equal-opportunity employer. We believe the best ideas come from diverse teams, and we actively welcome applicants from all backgrounds. If this role excites you but you don't check every single box, we'd still love to hear from you! We don't want to miss out on great people because of a checklist.
For information on how we handle your personal data, please refer to our Recruitment Privacy Policy
#LI-REMOTE
