Job Title: Cloud Engineer AI-Powered Tagging Automation
Location: Bethesda , MD (Hybrid)
Job Type: Contract C2C
Job Summary:
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.
Key Responsibilities:
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.
Qualifications:
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.
Preferred Skills:
Experience developing AI/ML solutions for cloud resource management or automation.
Prior work in FinOps or cloud financial operations teams
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