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Requirment – Cloud Engineer – AI-Powered Tagging Automation – BETHESDA,MD; Hybrid

Job in Bethesda, Montgomery County, Maryland, 20811, USA
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)
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Urgent Requirment – Cloud Engineer – AI-Powered Tagging Automation – BETHESDA,MD (Hybrid)

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

Website:

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