Cloud Optimization Engineer

2 days ago

Anand, Gujarat, India beBeeCloud Full time ₹ 12,00,000 - ₹ 18,00,000
Cloud Operations Specialist

We are seeking a highly skilled Cloud Operations Specialist to join our team. The ideal candidate will have hands-on expertise in cloud infrastructure, scripting/programming, monitoring, and cost optimization with a passion for improving reliability and efficiency.

The successful candidate will be responsible for:

  • Acting as the go-to expert for monitoring and optimizing cloud infrastructure costs across AWS, Azure, and GCP.
  • Closely tracking daily/weekly usage, spending patterns, and billing reports, and highlighting anomalies.
  • Developing and maintaining scripts/automation (Python, Bash, or similar) for cost reporting, resource clean-up, and efficiency improvements.
  • Working with engineering and product teams to right-size compute, storage, and database resources.
  • Identifying and implementing reserved instances, savings plans, auto-scaling policies, and storage lifecycle policies to reduce spend.
  • Leveraging native tools like AWS Cost Explorer, CloudWatch, GCP Billing, as well as third-party monitoring platforms.
  • Contributing to SRE/DevOps practices by monitoring infrastructure reliability while balancing costs.

Key Requirements:

  • Strong hands-on experience with AWS and/or GCP services (EC2, S3, IAM, GKE, BigQuery, etc.).
  • Experience in cloud cost monitoring & optimization.
  • Proficiency in at least one scripting/programming language (Python, Bash, Shell, etc.).
  • Understanding of SRE concepts: reliability, scalability, monitoring, and automation.
  • Prior experience in cost analysis and optimization for enterprise workloads.

The ideal candidate will possess a strong understanding of cloud infrastructure, including AWS and GCP services. They should have hands-on experience with scripting/programming languages, such as Python or Bash, and be proficient in using native tools like AWS Cost Explorer and CloudWatch. Additionally, they should have prior experience in cost analysis and optimization for enterprise workloads.

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