Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your expertise in AI/ML and Kubernetes within a cutting-edge environment, fostering significant career growth and skill development in cloud-native security. You'll thrive here if you have a strong background in platform engineering, AWS, and DevSecOps, making this an excellent chance to contribute to impactful projects within a reputable company. Apply now to explore this exciting mid-senior level position!
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Chantilly, VA, United States
Posted
5 weeks ago
Job Description
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
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