Cloud Architect (AWS & Azure) — Migrations & Strategy

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

Job summary

Machine Learning Technologies LLC in San Jose, CA seeks a Cloud Architect to lead hands-on design and deployment of enterprise cloud environments on AWS and Azure. You will drive large-scale migrations, create landing zones, governance, and cost-optimization strategies while partnering with executives.

Ideal candidates have 8+ years in infrastructure engineering with on-prem roots (VMware, storage arrays, enterprise networking) and proven ability to build production cloud environments from

Qualifications

• 8+ years of infrastructure engineering experience with strong on-prem roots (VMware, storage arrays, enterprise networking).
• Expert-level hands-on experience in Azure and AWS (minimum 5 years public cloud).
• Proven ability to build production cloud environments from scratch.

Responsibilities

• Architect, hands-on build, and operationalize 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 presentations for CXOs and board members.
• Present architecture roadmaps, migration plans, risk assessments, and ROI analyses to leadership.
• Influence strategic decisions and communicate long-term implications of cloud choices.
• Build trust as the technical authority with engineers and executives; mentor engineering teams.

Skills

Azure

AWS

Infrastructure engineering

Job description

Machine Learning Technologies LLC in San Jose, CA seeks a Cloud Architect to lead hands-on design and deployment of enterprise cloud environments on AWS and Azure. You will drive large-scale migrations, create landing zones, governance, and cost-optimization strategies while partnering with executives.

Ideal candidates have 8+ years in infrastructure engineering with on-prem roots (VMware, storage arrays, enterprise networking) and proven ability to build production cloud environments from