Cloud Optimization Expert

3 days ago

Bengaluru, Karnataka, India beBeeCost Full time ₹ 15,00,000 - ₹ 20,00,000

Cloud Optimization Engineer Position Overview:

We are seeking an expert to design, implement, and optimize automation workflows that support cloud financial management and cost optimization across various environments.

This role is ideal for a skilled engineer with experience working with cloud APIs, and a passion for making complex cost optimization levers operational at scale. You will collaborate with teams to identify savings opportunities, develop automation routines, and support the integration of cloud cost tooling into reporting frameworks.

Key Responsibilities:

  • Create and maintain automation scripts and pipelines (primarily in Python) to support cloud cost optimization, tagging enforcement, and resource governance.
  • Integrate and operationalize data from tools such as Cloudability, Azure Cost Management, AWS Cost Explorer, and GCP Billing.
  • Develop and maintain API-based workflows to extract, transform, and centralize cloud cost and usage data across platforms.
  • Implement and automate optimization actions such as resource rightsizing, auto-scheduling, reserved instance/commitment tracking, and unused resource cleanup.
  • Collaborate with data visualization teams to feed clean, normalized data into 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.

Required Skills and Qualifications:

  • 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, including Azure Consumption APIs, AWS Cost Explorer APIs, or GCP Billing APIs
  • Strong understanding of cloud cost optimization concepts, including rightsizing, reservations, tagging, and scheduling
  • Familiarity with cloud cost optimization frameworks
  • Hands-on experience with CI/CD workflows, version control (e.g., Git), and basic infrastructure-as-code practices
  • Ability to design scalable, maintainable automation solutions aligned with enterprise financial KPIs

Main Deliverables:

  • Automated pipelines that support ongoing cloud cost optimization and validation
  • Scalable integrations across CSPs and tooling to centralize financial data for reporting
  • Implemented and validated cost savings through programmatic optimization levers

Qualification and Certification Recommendations:

  • Candidates should have expertise in cloud computing platforms and related technologies

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