Consigue una respuesta de este empleador
Tu currículum y tu carta de presentación, adaptados exactamente a lo que buscan contratar.
Machine Learning Technologies, LLC is seeking a Senior AWS Architect/Engineer to design and implement scalable AWS cloud infrastructures. The role requires hands-on expertise across enterprise multi-account environments, AWS Control Tower, Terraform, CloudFormation, EKS, and OpenShift to deliver robust cloud solutions.
You will collaborate with engineering and DevOps teams to deploy secure, cost-aware architectures, lead infrastructure projects, and ensure operations run smoothly in production.
We are seeking a Senior AWS Architect/Engineer with strong hands-on experience in AWS cloud infrastructure, enterprise multi-account environments, and container platforms. The ideal candidate should have expertise in AWS Control Tower, Terraform, CloudFormation, AWS EKS, and Red Hat OpenShift, along with experience in cloud architecture and infrastructure delivery.
Design, implement, and manage enterprise-level AWS cloud infrastructure.
Manage and support multi-account AWS environments.
Implement and maintain AWS Control Tower environments.
Develop and manage Infrastructure as Code (IaC) using Terraform and AWS CloudFormation.
Deploy, configure, and manage container platforms using AWS EKS and Red Hat OpenShift.
Support managed container platforms and DevOps practices.
Design scalable, secure, and reliable cloud architectures.
Lead infrastructure implementation and cloud project delivery.
Support cloud infrastructure operations and administration.
Collaborate with engineering and DevOps teams to deliver cloud solutions.
Hands-on experience with AWS Control Tower.
Strong Terraform and AWS CloudFormation experience.
Mandatory hands-on experience with AWS EKS.
Mandatory hands-on experience with Red Hat OpenShift.
Experience with managed container platforms.
Exposure to DevOps practices.
Cloud architecture, infrastructure implementation, and project delivery experience.
Windows and Linux system administration.
AWS certifications.
Exposure to Microsoft Azure or Google Cloud Platform (GCP).
Cloud cost estimation and planning experience.
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.