Cloud Administrator

MACHINE LEARNING TECHNOLOGIES LLC

Salem (OR)

On-site

USD 55,000 - 96,000

Full time

7 hours ago
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Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Salem, OR is seeking a Cloud Administrator to manage multi-cloud environments and ensure reliable, secure operations across AWS, Azure, and Google Cloud. This 24-month engagement includes backups, DR, cost optimization, and cross-team collaboration for cloud integration.

Ideal candidates hold cloud certifications and experience with IaC tools like Terraform or CloudFormation, plus containerization and orchestration knowledge.

Qualifications

  • Configure and manage cloud environments (AWS, Azure, Google Cloud Platform).
  • Monitor cloud systems and troubleshoot issues.
  • Manage user access, permissions, and security policies.
  • Perform regular backups and disaster recovery operations.
  • Optimize cloud resources for performance and cost.
  • Collaborate with development and IT teams for cloud integration.
  • Maintain cloud documentation and inventory.
  • Implement updates, patches, and system upgrades.
  • Ensure compliance with cloud governance standards.
  • Stay updated on emerging cloud technologies and trends.

Responsibilities

  • Configure and manage cloud environments (AWS, Azure, Google Cloud Platform).
  • Monitor cloud systems and troubleshoot issues.
  • Manage user access, permissions, and security policies.
  • Perform regular backups and disaster recovery operations.
  • Optimize cloud resources for performance and cost.
  • Collaborate with development and IT teams for cloud integration.
  • Maintain cloud documentation and inventory.
  • Implement updates, patches, and system upgrades.
  • Ensure compliance with cloud governance standards.
  • Stay updated on emerging cloud technologies and trends.

Skills

Cloud certifications
Terraform
CloudFormation
Containerization
Orchestration

Tools

Terraform
CloudFormation

Job description

Job Description

Job Overview


Job ID: J52495


Job Title: Cloud Administrator


Location: Salem, OR


Duration: 24 Months + Extension


Hourly Rate: Depending on Experience (DOE)


Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD


Client: To Be Discussed Later


Employment Type: W-2, 1099, C2C


Key Responsibilities


  • Configure and manage cloud environments (AWS, Azure, Google Cloud Platform).

  • Monitor cloud systems and troubleshoot issues.

  • Manage user access, permissions, and security policies.

  • Perform regular backups and disaster recovery operations.

  • Optimize cloud resources for performance and cost.

  • Collaborate with development and IT teams for cloud integration.

  • Maintain cloud documentation and inventory.

  • Implement updates, patches, and system upgrades.

  • Ensure compliance with cloud governance standards.

  • Stay updated on emerging cloud technologies and trends.


Preferred Skills/Duties


  • Cloud certifications (AWS Certified Administrator, Azure Administrator).

  • Experience with infrastructure-as-code tools (Terraform, CloudFormation).

  • Familiarity with containerization and orchestration.


Equal Opportunity Employer

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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