Job Description
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.
Job Tags
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