CirrusLabs ยท 4 months ago
Data Scientist/ Multi-cloud architecture
CirrusLabs is a niche digital transformation company dedicated to helping customers realize value through innovation. They are seeking a FinOps Data Scientist with multi-cloud architecture expertise to deliver advanced cost analytics, forecasting, and automation while providing architectural guidance for cost-efficient cloud solutions.
Information ServicesInformation TechnologySoftware
Responsibilities
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
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)
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
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
Qualification
Required
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
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
Benefits
Continuing education programs
Company
CirrusLabs
CirrusLabs is an IT company provides agile software delivery, automation, cloud Services, and IoT.
H1B Sponsorship
CirrusLabs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (14)
2024 (11)
2023 (13)
2022 (26)
2021 (5)
2020 (7)
Funding
Current Stage
Growth StageRecent News
24-7 Press Release Newswire
2025-09-29
CirrusLabs Welcomes Nagaraj Padmanabhan as Chief Executive Officer of the Middle East and African Markets
2024-10-10
2023-06-05
Company data provided by crunchbase