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DevOps Engineer - Azure Cloud (FinOps)

$55 - $60 per hour

Cynet Systems

Azure Cloud Cost Optimization Specialist

Pay Range: $55hr - $60hr

Responsibilities:
  • Drive Azure cloud cost optimization initiatives including rightsizing, reservations, savings plans, and storage lifecycle management.
  • Ensure cost visibility through tagging governance, cost allocation models, and reporting frameworks.
  • Manage budgeting, forecasting, and cost analysis across Azure subscriptions.
  • Implement governance controls to enhance financial accountability across cloud workloads.
  • Automate cloud operations and cost controls using DevOps practices and Infrastructure as Code (IaC).
  • Collaborate with engineering and finance stakeholders to enable showback/chargeback models and cost transparency.
  • Continuously improve cloud financial management practices and operational efficiency.
Required Qualifications:
  • 4–7 years of experience in DevOps or Cloud Engineering.
  • Strong hands-on experience with Microsoft Azure services including compute, storage, networking, subscriptions, and RBAC.
  • Solid understanding of Azure Cost Management and cloud governance practices.
  • Good understanding of FinOps principles including cost allocation, forecasting, optimization, and chargeback models.
  • Experience with CI/CD pipelines such as Azure DevOps or GitHub Actions.
  • Hands-on experience with Infrastructure as Code tools such as Terraform, ARM, or Bicep.
  • Strong analytical and problem-solving skills.
Preferred Qualifications:
  • Experience with GCP is a plus.
  • Exposure to FinOps tools such as Cloudability or similar platforms.
  • Azure certifications (e.g., AZ-104, AZ-400) or equivalent credentials.
  • Experience with monitoring and observability platforms.
  • Strong communication skills with the ability to collaborate across technical and financial stakeholders.
Candidate Profile:
  • Well-rounded cloud operations professional with a strong learning mindset.
  • Ability to quickly adapt to FinOps tools and evolving cloud technologies.
  • Data-driven approach with strong stakeholder communication skills.
  • Practical understanding of balancing cost, performance, and reliability.
Vacancy posted 1 day ago
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