Job Title : FinOps Cloud Automation Engineer (Python)
Company : CirrusLabs ( http : / / www.Cirruslabs.Io )
Location : Hyderabad
Experience : 5–10 years
Employment Type : Full-time
About CirrusLabs
CirrusLabs is a modern digital transformation partner focused on helping enterprises accelerate value from cloud, data, and automation. We are expanding our FinOps and Cloud Automation capabilities and are looking for a FinOps Cloud Automation Engineer (Python) to join our high-performing team.
If you’re passionate about cloud, automation, and driving real financial impact at scale, this is a great place to grow your career.
Role Overview
We are seeking a FinOps Cloud Automation Engineer (Python) to design, implement, and optimize automation workflows that support cloud financial management and cost optimization across Azure, AWS, and GCP .
You will work at the intersection of cloud engineering, financial governance, and data integration —building scalable automation pipelines and tooling that enable measurable and sustainable cloud cost savings.
This role is ideal for an engineer with strong Python skills, hands-on experience with cloud APIs , and a passion for turning complex cost optimization levers into repeatable, automated solutions .
Key Responsibilities
Automation & Scripting
- Build and maintain automation scripts and pipelines (primarily in Python) to support :
- Cloud cost optimization
- Tagging enforcement
- Resource governance across Azure, AWS, and GCP
Cost & Usage Data Integration
Integrate and operationalize data from cloud cost tools such as :Cloudability , Azure Cost Management , AWS Cost Explorer , and GCP BillingDevelop API-based workflows to extract, transform, and centralize cloud cost and usage data.Optimization Engineering
Implement and automate optimization actions such as :Resource rightsizingAuto-scheduling of non-production workloadsReserved instance / commitment trackingUnused resource cleanup (idle resources, unattached volumes, unused IPs, etc.)Data & Reporting Integration
Collaborate with data visualization and reporting teams to feed clean, normalized data into :Power BI dashboardsKPI scorecards and executive reportsTagging & Governance
Ensure tagging strategy compliance through :Automated validation and remediation routinesTag coverage and accuracy checks across CSPsTooling & Platform Improvement
Contribute to continuous improvement of :FinOps toolingInternal automation librariesIntegration patterns and playbooksDelivery & Collaboration
Work in a globally distributed team following Agile / Scrum delivery practices.Partner closely with program leads, data analysts, cloud architects, and finance stakeholders to :Identify savings opportunitiesDefine automation use casesValidate financial impactRequired Skills & Qualifications
Experience
5+ years of experience in cloud engineering, automation, or DevOps within a multi-cloud or large enterprise IT environment.Technical Skills
Advanced proficiency in Python for scripting, automation, and API integration.Experience working with cloud cost and usage APIs , such as :
Azure Consumption APIsAWS Cost Explorer APIsGCP Billing APIsStrong understanding of cloud cost optimization concepts , including :
Rightsizing, reservations / commitmentsTagging strategiesScheduling and lifecycle management of resourcesFamiliarity with FinOps tooling such as :
Cloudability, CloudHealth, or equivalent native CSP cost tools .Hands-on experience with :
CI / CD workflowsVersion control (e.G., Git)Basic infrastructure-as-code practices (e.G., Terraform, ARM / Bicep, CloudFormation – any is acceptable).Design & Soft Skills
Ability to design scalable, maintainable automation solutions aligned with enterprise financial KPIs.Strong documentation skills —able to clearly capture workflows, runbooks, and design decisions.Excellent communication and collaboration skills , with the ability to work effectively across technical and business teams.Preferred Qualifications
Familiarity with FinOps Frameworks or Cloud Financial Management principles.Experience contributing to or maintaining automation pipelines using :GitHub Actions , Azure DevOps , Jenkins , or Terraform -based workflows.Understanding of cloud governance frameworks , tagging policies , and cost allocation strategies (business units, cost centers, products, etc.).Exposure to Power BI or experience collaborating with BI / analytics teams on cost dashboards.Experience supporting large-scale optimization programs across multiple portfolios, business units, or cost centers.