Requirment – Cloud Engineer – AI-Powered Tagging Automation – BETHESDA,MD; Hybrid
Job in
Bethesda, Montgomery County, Maryland, 20811, USA
Listed on 2026-05-28
Listing for:
US staffing Inc
Full Time, Contract
position Listed on 2026-05-28
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Please send resume on
- 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 Fin Ops 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 Sage Maker.
• Build infrastructure as code using Cloud Formation and Terraform; implement automated workflows with tools like Harness.
• Collaborate with Fin Ops 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, Cloud Formation, and Harness.
• Working knowledge of AI-driven models and AWS Bedrock integrations within Fin Ops 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 Fin Ops or cloud financial operations teams.
Regards,
Subodh Gaware
AVSI Systems LLC
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