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MACHINE LEARNING TECHNOLOGIES LLC

Tustin / Global

Enterprise Cloud (Multi Cloud) Architect

Job Description

Job Overview Job ID: J52099

Job Title: Enterprise Cloud (Multi Cloud) Architect

Location: Tustin, CA

Duration: 18 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

Required Skills & Qualifications 10+ years of experience in cloud architecture and enterprise IT solutions.

Expert-level knowledge of Google Cloud Platform, Azure, and AWS services and architectures.

Strong experience in multi-cloud strategy, cloud-native application design, and DevOps practices.

Proficiency in cloud security, identity management, and compliance frameworks.

Hands-on experience with Infrastructure as Code (Terraform, Ansible) and automation tools.

Excellent communication and stakeholder management skills.

Relevant certifications (Google Professional Cloud Architect, Azure Solutions Architect Expert, AWS Certified Solutions Architect - Professional) highly preferred.

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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