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Machine Learning Technologies, LLC is seeking an experienced Cloud Architect to build and operationalize greenfield cloud environments on Azure and AWS (IaaS, PaaS, containers, serverless) and to lead large-scale on-premises to cloud migrations and hybrid/multi-cloud transformations.
You will design enterprise landing zones, governance, security, networking, and cost-optimization frameworks, and translate complex technical solutions into clear presentations for CXOs and board members.
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.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.