AI Full Stack with Security Clearance

Minimum:
-Bachelor’s degree in computer science, Software Engineering, or related field or at least 10 years of relevant professional work experience in engineering ● Minimum of five (5) years of professional experience in platform engineering, with at least three (3) years focusing on AI/ML platforms ● Expert knowledge and experience in Kubernetes administration and management (Elastic Kubernetes Service preferred) ● Proficiency in Infrastructure as Code (IaC) development, with tools such as Terraform and Helm ● Minimum of three (3) years recent professional experience with cloud services, particularly Amazon Web Services (AWS) and the AWS AI/ML offerings ● At least one (1) AWS certification ● Thorough understanding of DevSecOps best practices, with demonstrated experience with DevOps