Cloud FinOps Analyst, Dotmatics

• We are looking for people who have 5+ years of experience in cloud operations, cloud architecture, or a related technical infrastructure role, with demonstrated experience analyzing and optimizing cloud spend at enterprise scale
• Python, particularly data science and report generation frameworks
• Hands-on experience with AWS or Databricks, with a strong preference for multi-cloud expertise
• Strong understanding of cloud-native architectures including containerization, serverless, managed databases, and distributed systems
• Experience with observability and monitoring platforms such as Datadog, CloudWatch, or equivalent
• Ability to produce clear written and visual communication of technical findings for executive audiences

Desirable

• Dotmatics is seeking an Cloud FinOps Analyst to own the operational health, architecture intelligence, and cost optimization of our cloud environments
• In this role you will develop a deep understanding of our infrastructure, connect architectural decisions to business outcomes, and give engineering and leadership the visibility they need to make smart, cost-conscious decisions at scale
• Cloud Architecture and Cost Intelligence:
• Develop and maintain a comprehensive technical understanding of the organization’s cloud architecture across all major infrastructure components
• Map the relationship between architectural decisions and cost drivers, producing clear models that connect system behavior to spend
• Identify cost anomalies, inefficiencies, and optimization opportunities across compute, storage, networking, and managed services
• Build and maintain dashboards and reporting that give engineering and leadership real-time visibility into cloud cost trends
• Technical Operations:
• Help define and enforce cloud governance policies including tagging standards, resource lifecycle management, and rightsizing practices
• Partner with engineering teams to review architectural decisions for cost impact before and after deployment
• Maintain runbooks and documentation for operational data management processes
• Stakeholder Collaboration:
• Serve as the primary point of contact for cloud cost and operations questions from engineering, finance, and executive stakeholders
• Translate complex technical findings into clear, business-oriented recommendations for non-technical audiences
• Collaborate with engineering leadership on roadmap decisions that have infrastructure and cost implications
• Work cross-functionally on handoffs and alignment across shared operational responsibilities