Cloud Infrastructure Cost Analyst (FinOps)
<p>We are looking for a Cloud Infrastructure Cost Analyst to help us understand, forecast, and optimize the cost structure of our cloud-based products.</p>
<p>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.</p>
<p>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.</p>
<h2>Tasks</h2>
<ul>
<li>Analyze cloud usage and infrastructure spend to understand the main cost drivers across our platform</li>
<li>Build and maintain reports on infrastructure cost (e.g. free vs paid tier usage, POC environments, product-level cost)</li>
<li>Work closely with the Cloud Engineering team to understand how architecture and resource usage affect cost</li>
<li>Develop models to estimate cost per customer, feature, or workload</li>
<li>Forecast infrastructure spend based on usage trends and upcoming changes in our architecture</li>
<li>Identify opportunities for cost optimization (e.g. savings plans, resource sizing, usage patterns)</li>
<li>Build internal dashboards and simple tools to make cloud cost data accessible to engineering, finance, and sales</li>
<li>Support internal teams with data for pricing, deal modeling, and infrastructure planning</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>Strong analytical skills and experience working with Python and SQL</li>
<li>Experience analyzing large datasets and building reports or dashboards</li>
<li>Familiarity with public cloud platforms (AWS, GCP, or Azure) and a basic understanding of infrastructure components such as compute, load balancing, and serverless workloads</li>
<li>Ability to translate technical usage data into cost models, forecasts, or business insights</li>
<li>Comfortable working with engineers and understanding how cloud architecture and resource usage affect cost</li>
<li>Experience working with modern data platforms (e.g. Snowflake or similar)</li>
</ul>
<p><strong>Nice to have</strong></p>
<ul>
<li>Experience with cloud cost analysis, FinOps, or infrastructure cost modeling</li>
<li>Experience working in cloud engineering, DevOps, or infrastructure-heavy environments</li>
<li>Familiarity with cloud billing tools or cost management tools (AWS Cost Explorer, GCP Billing, etc.)</li>
<li>Experience with forecasting, budgeting, or usage modeling</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>Shape the future of AI infrastructure</li>
<li>Work with a globally distributed, high-talent team</li>
<li>Competitive compensation + equity</li>
<li>Remote-first culture</li>
</ul>
<p>Candidates, please submit a short non-AI-generated cover letter and explain why you think you are a great fit for this role.</p>
<p>Find <a href="https://www.arbeitnow.com/">Jobs in Germany</a> on Arbeitnow</a>
<p>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.</p>
<p>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.</p>
<h2>Tasks</h2>
<ul>
<li>Analyze cloud usage and infrastructure spend to understand the main cost drivers across our platform</li>
<li>Build and maintain reports on infrastructure cost (e.g. free vs paid tier usage, POC environments, product-level cost)</li>
<li>Work closely with the Cloud Engineering team to understand how architecture and resource usage affect cost</li>
<li>Develop models to estimate cost per customer, feature, or workload</li>
<li>Forecast infrastructure spend based on usage trends and upcoming changes in our architecture</li>
<li>Identify opportunities for cost optimization (e.g. savings plans, resource sizing, usage patterns)</li>
<li>Build internal dashboards and simple tools to make cloud cost data accessible to engineering, finance, and sales</li>
<li>Support internal teams with data for pricing, deal modeling, and infrastructure planning</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>Strong analytical skills and experience working with Python and SQL</li>
<li>Experience analyzing large datasets and building reports or dashboards</li>
<li>Familiarity with public cloud platforms (AWS, GCP, or Azure) and a basic understanding of infrastructure components such as compute, load balancing, and serverless workloads</li>
<li>Ability to translate technical usage data into cost models, forecasts, or business insights</li>
<li>Comfortable working with engineers and understanding how cloud architecture and resource usage affect cost</li>
<li>Experience working with modern data platforms (e.g. Snowflake or similar)</li>
</ul>
<p><strong>Nice to have</strong></p>
<ul>
<li>Experience with cloud cost analysis, FinOps, or infrastructure cost modeling</li>
<li>Experience working in cloud engineering, DevOps, or infrastructure-heavy environments</li>
<li>Familiarity with cloud billing tools or cost management tools (AWS Cost Explorer, GCP Billing, etc.)</li>
<li>Experience with forecasting, budgeting, or usage modeling</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>Shape the future of AI infrastructure</li>
<li>Work with a globally distributed, high-talent team</li>
<li>Competitive compensation + equity</li>
<li>Remote-first culture</li>
</ul>
<p>Candidates, please submit a short non-AI-generated cover letter and explain why you think you are a great fit for this role.</p>
<p>Find <a href="https://www.arbeitnow.com/">Jobs in Germany</a> on Arbeitnow</a>