
Optimizing Cloud Costs Through Automated Resource Management
2 weeks ago
We are seeking a skilled Cloud Automation Engineer to optimize cloud costs and streamline resource management.
Key Responsibilities:
- Design and implement automation scripts and pipelines using Python to enforce cost optimization, tagging, and resource governance across CSPs.
- Integrate and operationalize data from various cloud 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 across platforms.
- Implement optimization actions like resource rightsizing, auto-scheduling, reserved instance/commitment tracking, and unused resource cleanup.
- Collaborate with data visualization teams to feed clean, normalized data into Power BI dashboards and KPI trackers.
- Ensure tagging strategy compliance through automation routines and validation tooling.
- Contribute to the continuous improvement of FinOps tooling, automation libraries, and integration playbooks.
Requirements:
- 5+ years of experience in cloud engineering, automation, or DevOps within a multi-cloud environment.
- Advanced proficiency in Python for scripting, automation, and API integration.
- Experience working with cloud cost and usage APIs.
- Strong understanding of cloud cost optimization concepts.
- Familiarity with FinOps frameworks or cloud financial management principles.
Preferred Qualifications:
- Understanding of cloud governance frameworks, tagging policies, and cost allocation strategies.
- Exposure to Power BI or collaboration with data visualization teams.
What We Offer:
- A dynamic work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
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