Kubernetes Platform Engineer - Secure, Scalable AI

ANAUTICS INC; Oklahoma City (OK); On-site; USD 90,000 - 120,000; Full time

Job summary

ANAUTICS INC seeks a qualified candidate for a key role involving the operation of container platforms and Kubernetes clusters in Oklahoma City. The ideal candidate will have over 4 years of experience in infrastructure and platform engineering, strong skills in Linux and automation, and must be a U.S. citizen. Responsibilities include building and operating Kubernetes clusters and supporting application teams. The role is vital for improving deployment speed and service reliability, requiring clear communication with technical and non-technical teams.

Qualifications

• 4+ years of infrastructure, Kubernetes, SRE, or platform engineering experience.
• Experience operating production containerized workloads.
• Strong Linux, networking, observability, and automation skills.
• U.S. Citizenship is required.
• Must be capable of obtaining and maintaining a Top Secret security clearance.
• Comfort working with ambiguous mission, data, and engineering problems.
• Strong written communication and ability to explain technical decisions.

Responsibilities

• Build and operate Kubernetes clusters, ingress, service mesh, secrets, and observability tooling.
• Develop deployment templates, policies, and runbooks.
• Support application teams with performance, reliability, and debugging needs.
• Automate platform lifecycle management and security updates.

Skills

Infrastructure experience

Kubernetes

SRE

Platform engineering experience

Strong Linux skills

Networking skills

Observability skills

Automation skills

Communication skills

Job description

ANAUTICS INC seeks a qualified candidate for a key role involving the operation of container platforms and Kubernetes clusters in Oklahoma City. The ideal candidate will have over 4 years of experience in infrastructure and platform engineering, strong skills in Linux and automation, and must be a U.S. citizen. Responsibilities include building and operating Kubernetes clusters and supporting application teams. The role is vital for improving deployment speed and service reliability, requiring clear communication with technical and non-technical teams.