Job Description

Seeking an experienced Cloud Engineer with strong expertise in AWS and AI-powered automation to develop, implement, and enhance tagging automation frameworks. The ideal candidate will work closely with FinOps teams to leverage AI/ML tools for intelligent cloud resource tagging, cost optimization, and workflow automation.

• Design and develop AI-driven tagging automation frameworks using AWS services including AWS Bedrock and SageMaker.
• Build infrastructure as code using CloudFormation and Terraform; implement automated workflows with tools like Harness.
• Collaborate with FinOps teams to create AI-enhanced chargeback models and optimize cloud spend monitoring.
• Utilize monitoring tools such as Dynatrace to analyze metrics and performance data to support tagging and cost control strategies.
• Maintain enterprise tagging strategies and cost optimization best practices.
• Document and communicate processes effectively using Confluence and Jira.

• Strong hands-on experience with AWS cloud services across compute, database, networking, identity management, and infrastructure-as-code.
• Proven experience in cloud cost optimization, chargeback automation, and enterprise tagging frameworks.
• Proficiency in Python and automation scripting; experienced with Terraform, CloudFormation, and Harness.
• Working knowledge of AI-driven models and AWS Bedrock integrations within FinOps or cloud financial management.
• Familiarity with monitoring and observability tools (e.g., Dynatrace) to interpret cloud metrics and logs.
• Excellent communication and collaboration skills with experience using Confluence and Jira.

• Experience developing AI/ML solutions for cloud resource management or automation.
• Prior work in FinOps or cloud financial operations teams.

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