Finops Cloud Automation Engineer(Python)CirrusLabs • Hyderabad, India
Finops Cloud Automation Engineer(Python)
CirrusLabs • Hyderabad, India
2 days ago
Job descriptionIntegrate and operationalize data from cloud cost tools such as : Cloudability, Azure Cost Management, AWS Cost Explorer, and GCP Billing Develop API-based workflows to extract, transform, and centralize cloud cost and usage data. Implement and automate optimization actions such as : Resource rightsizing Auto-scheduling of non-production workloads Reserved instance / commitment tracking Unused resource cleanup (idle resources, unattached volumes, unused IPs, etc.) Collaborate with data visualization and reporting teams to feed clean, normalized data into : Power BI dashboards KPI scorecards and executive reports Ensure tagging strategy compliance through : Automated validation and remediation routines Tag coverage and accuracy checks across CSPs Contribute to continuous improvement of : FinOps tooling Internal automation libraries Integration patterns and playbooks 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 opportunities Define automation use cases Validate financial impact 5+ years of experience in cloud engineering, automation, or DevOps within a multi-cloud or large enterprise IT environment. Advanced proficiency in Python for scripting, automation, and API integration. Azure Consumption APIs AWS Cost Explorer APIs GCP Billing APIs Rightsizing, reservations / commitments Tagging strategies Scheduling and lifecycle management of resources Cloudability, CloudHealth, or equivalent native CSP cost tools. CI / CD workflows Version control (e.g., Git) Basic infrastructure-as-code practices (e.g., Terraform, ARM / Bicep, CloudFormation – any is acceptable). 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. 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.
Job Title : FinOps Cloud Automation Engineer (Python)
Company : CirrusLabs ( )
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
Optimization Engineering
Data & Reporting Integration
Tagging & Governance
Tooling & Platform Improvement
Delivery & Collaboration
Required Skills & Qualifications
Experience
Technical Skills
Experience working with cloud cost and usage APIs, such as :
Strong understanding of cloud cost optimization concepts, including :
Familiarity with FinOps tooling such as :
Hands-on experience with :
Design & Soft Skills
Preferred Qualifications
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