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Über
CirrusLabs . Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.
You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented to join our team. If you're excited to be part of a winning team, CirrusLabs ( http://www.cirruslabs.io ) is a great place to grow your career.
Position Summary
We are seeking a FinOps Data Scientist with strong multi-cloud architecture expertise to join our FinOps Multi-Cloud Cost Optimization program.
This is a hybrid role combining the data science depth needed to deliver advanced cost analytics, forecasting, and automation, with the cloud architecture acumen required to design and guide cost-efficient, scalable, and compliant multi-cloud environments.
The successful candidate will operate as both a hands-on practitioner and a thought leader, advising on cloud financial governance and architecture patterns while building predictive models and automation to maximize efficiency across Azure, AWS, and GCP.
Key Responsibilities
Cloud FinOps Data Science & Analytics Develop and refine predictive models for multi-cloud cost forecasting, anomaly detection, and optimization scenario analysis. Apply machine learning techniques to detect inefficiencies, usage anomalies, and cost-saving opportunities. Translate complex cost and usage data into actionable insights for cloud service owners, finance, and architecture teams. Leverage and integrate data from Cloudability (Apptio), Azure Cost Management, AWS Cost Explorer, and GCP Billing into unified analytics workflows. Multi-Cloud Architecture Enablement
Provide architectural guidance to design cost-efficient, secure, and scalable solutions across Azure, AWS, and GCP. Define and enforce tagging, labeling, and cost allocation frameworks to enable accurate chargeback/showback reporting. Collaborate with FinOps Architects to align optimization strategies with landing zones, VPC/VNet architectures, container platforms (AKS, EKS, GKE), and hybrid connectivity patterns. Recommend architectural adjustments to reduce spend (e.g., rightsizing compute, leveraging spot/preemptible instances, optimizing storage tiers). Optimization & Automation
Partner with automation engineers to build API-driven workflows for cost anomaly alerts, automated remediation, and scaling policies. Implement infrastructure-as-code templates (e.g., Terraform, Bicep) to standardize cost-conscious deployments. Conduct what-if analyses to evaluate the financial impact of proposed architectural or operational changes before implementation. Stakeholder Engagement & Governance
Serve as a trusted advisor to enterprise architects, finance, and cloud operations teams. Present recommendations to senior leadership, balancing technical feasibility, cost impact, and governance alignment. Ensure all FinOps activities align with client security, compliance, and cost governance frameworks. Required Qualifications
5+ years in data science, cloud analytics, or applied machine learning, with at least 2 years in a FinOps or cloud architecture-focused role. Proficiency in Python (Pandas, NumPy, Scikit-learn) and SQL for large dataset analysis. Strong understanding of multi-cloud architecture principles and cost optimization strategies. Experience with Cloudability (Apptio), Azure Cost Management, AWS Cost Explorer, GCP Billing APIs. Knowledge of FinOps principles and enterprise cloud governance models. Ability to clearly communicate complex data and architecture trade-offs to varied audiences. Preferred Qualifications
Experience with machine learning on cloud-native platforms (Azure Machine Learning, AWS SageMaker, GCP Vertex AI). Hands-on experience with infrastructure-as-code (Terraform, Bicep) and automation pipelines (GitHub Actions, Azure DevOps). Familiarity with container orchestration (AKS, EKS, GKE) and associated cost considerations. FinOps Certified Practitioner or Architect certification. Background in large enterprise multi-cloud transformations. Why Work With Us
Hybrid Expertise: Operate at the intersection of data science and cloud architecture to deliver measurable business impact. Impact at Scale: Optimize cloud costs for one of the world's largest enterprise IT environments. Thought Leadership: Influence both architecture and financial governance strategies in a high-visibility program. Global Collaboration: Work with a cross-functional FinOps team across US, India, and LATAM.
Sprachkenntnisse
- English
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