Cloud Architect (AWS & Azure )

MACHINE LEARNING TECHNOLOGIES LLC; San Jose (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking a Cloud Architect to build and operationalize cloud environments on AWS and Azure. You will lead large-scale migrations from on-premises to cloud, and shape governance, security, networking, and cost-optimization frameworks in a hybrid/multi-cloud setting.

You will translate complex technical solutions for CXOs and board members, present roadmaps and ROI analyses, and mentor engineering teams while maintaining accountability for delivery.

Qualifications

• 8+ years in infrastructure engineering with on-prem roots (VMware, storage arrays, enterprise networking).
• Expert-level hands-on experience in both Azure and AWS (minimum 5 years public cloud).

Skills

Cloud architecture

AWS

Azure

VMware

Tools

VMware

Storage arrays

Enterprise networking

Job description

Job Overview

• Job ID: J52993
• Job Title: Cloud Architect (AWS & Azure )
• Location: San Jose, CA
• 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

Summary

Architect, hands-on build, and operationalize greenfield cloud environments on Azure and AWS (IaaS, PaaS, containers, serverless).

Lead large-scale on-premises to cloud migrations and hybrid/multi-cloud transformations.

Design and implement enterprise landing zones, governance, security, networking, and cost-optimization frameworks.

Translate complex technical solutions into clear, compelling presentations and recommendations for CXOs, and board members.

Regularly present architecture roadmaps, migration plans, risk assessments, TCO/ROI analysis, and progress updates to senior leadership and stakeholders.

Influence strategic decisions by articulating trade-offs, risks, and long-term implications of cloud and infrastructure choices.

Build trust as the go-to technical authority both in the weeds with engineers and in the boardroom with executives.

Mentor engineering teams while maintaining final accountability for solution quality and delivery.

Required Experience & Skills

8+ years in infrastructure engineering with strong on-premises data center roots (VMware, storage arrays, enterprise networking, physical deployments).

Expert-level hands-on experience in both Azure and AWS (minimum 5 years public cloud).

Proven ability to build production cloud environments from scratch not just manage inherited ones.

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