Platform / DevSecOps Engineer, Secure AI Systems

What you'll do

• Design, build, and operate the secure platform foundation for a new AI architecture across cloud and on-premises environments.
• Architect and implement scalable runtime components for real-time inference, large offline simulations, and edge environments.
• Manage the end-to-end operation of business-critical compute, storage, networking, and database infrastructure for isolated environments.
• Design and enforce Zero Trust boundaries using segmentation, least-privilege access, and controlled ingress/egress.
• Administer GitHub Enterprise Server, including repositories, permissions, ephemeral runners, and disaster-recovery configurations.
• Integrate identity, secrets, and certificate services using federation, SAML, OIDC, and RBAC.
• Develop and operate a secure software-supply-chain pipeline to scan, validate, and promote trusted artifacts.
• Lead major incident-response activities, including investigation, containment, root-cause analysis, and corrective actions.

What we're looking for

• Must have a Bachelor's degree in computer science, computer engineering, cybersecurity, or information systems.
• Must have a High School Diploma/GED and seven years of experience building, operating, automating, securing, or recovering business-critical technology platforms.
• Must have seven years of professional experience in platform engineering, DevSecOps, site reliability engineering, cloud infrastructure, or infrastructure security.
• Must have three years of experience designing, deploying, and operating infrastructure using Terraform across public and private clouds.
• Must have three years of production experience administering GitHub Enterprise Server or a comparable self-hosted software-development platform.
• Must be legally authorized to work in the country of employment.
• Three years of scripting and software-development capability using Python, Bash, and/or PowerShell (preferred).
• Export-controlled programs.