Red Hat Open Shift AI Senior Consultant

Job Overview

Cyber Guardian Threat Solutions LLC is seeking a Red Hat OpenShift AI Engineer to design, implement, secure, and support enterprise AI/ML platforms for a U.S. Government customer. This role combines hands-on OpenShift engineering, AI/ML infrastructure, automation, and customer engagement to deliver reliable, scalable solutions in secure environments.

The successful candidate will work with platform engineers, data scientists, developers, and mission stakeholders to operationalize AI/ML workloads using Red Hat OpenShift AI, Red Hat OpenShift Container Platform, Red Hat Enterprise Linux (RHEL), and supporting automation technologies.

Security Clearance: Candidates MUST possess an ACTIVE Top Secret clearance with SCI access and a current Counterintelligence Polygraph (CI Poly). Both are required for consideration.

U.S. citizenship is required.

What You Will Do

Design, deploy, configure, and maintain Red Hat OpenShift AI and the underlying OpenShift infrastructure.

Configure and support AI/ML projects, workbenches, notebook environments, pipelines, model-serving endpoints, and supporting storage connections.

Partner with data scientists and application teams to move AI/ML models from experimentation into secure, reliable production environments.

Deploy and support inference workloads, including large language models and other predictive or generative AI models.

Configure and troubleshoot GPU-enabled infrastructure, accelerator scheduling, drivers, Operators, and workload resource allocation.

Develop repeatable deployment and configuration workflows using Ansible, GitOps, and CI/CD pipelines.

Implement platform security controls, including role-based access control, service accounts, secrets management, network policies, certificate management, and workload isolation.

Support deployments in restricted or disconnected environments, including image mirroring, private registries, dependency management, and controlled software updates.

Monitor platform availability, capacity, performance, and resource utilization; troubleshoot issues across Linux, containers, networking, storage, and AI/ML services.

Translate customer requirements into technical designs, implementation plans, operational procedures, and support documentation.

Collaborate with customer stakeholders, Red Hat personnel, and other engineering teams to resolve issues and improve platform operations.

Provide knowledge transfer, mentoring, and technical guidance to customer teams.

Participate in scheduled maintenance and rotational after-hours, weekend, or holiday support as required.

Required Qualifications

Active TS/SCI with a current CI Poly.

U.S. citizenship.

Three or more years of hands-on experience administering or engineering enterprise Linux environments, preferably RHEL.

Three or more years of experience deploying, administering, or troubleshooting production OpenShift or Kubernetes environments.

Hands-on experience deploying, configuring, or supporting Red Hat OpenShift AI, including workbenches, pipelines, or model serving.

Experience supporting AI/ML workloads on container platforms, including model deployment, inference services, and associated infrastructure.

Strong understanding of OpenShift and Kubernetes administration, including Operators, custom resources, namespaces, RBAC, persistent storage, routes, services, and network policies.

Experience configuring or troubleshooting GPU-enabled container workloads and managing compute, memory, and storage requirements for AI/ML applications.

Proficiency with Python and Bash for scripting, automation, integration, and troubleshooting.

Experience with Git, YAML, container images, image registries, and CI/CD or GitOps workflows.

Working knowledge of Ansible and infrastructure automation.

Strong Linux troubleshooting skills covering package management, system services, authentication, authorization, networking, filesystems, and system logs.

Understanding of TCP/IP, DNS, HTTP/S, TLS, load balancing, routing, and certificate troubleshooting.

Ability to communicate technical concepts clearly, document solutions, and collaborate effectively with customers and multidisciplinary teams.

Preferred Qualifications

Experience with model-serving technologies such as KServe and vLLM.

Experience with AI/ML frameworks and tooling such as PyTorch, Hugging Face, JupyterLab, and Kubeflow Pipelines.

Experience implementing MLOps workflows for model versioning, evaluation, deployment, monitoring, and promotion between environments.

Experience with large language models, retrieval-augmented generation (RAG), embeddings, vector databases, or model fine-tuning.

Experience with distributed training or inference and GPU performance optimization.

Experience with NVIDIA GPU Operator, accelerator monitoring, or GPU resource sharing.

Experience with S3-compatible object storage and enterprise persistent storage solutions.

Experience with OpenShift GitOps, Argo CD, OpenShift Pipelines, or Tekton.

Experience administering Red Hat Ansible Automation Platform, including Configuration as Code, automation execution environments, and role-based access controls.

Experience with disconnected OpenShift deployments, private registries, and software supply chain security.

Familiarity with government security requirements, DISA STIGs, vulnerability remediation, and RMF/ATO support.

Experience with OpenShift Virtualization, RHEL AI, or other technologies in the Red Hat AI portfolio.

Red Hat certifications such as RHCSA, RHCE, or Red Hat Certified OpenShift Administrator; Kubernetes certifications such as CKA or CKAD.

Bachelor’s degree in computer science, engineering, information technology, or a related field, or equivalent practical experience.

What Success Looks Like

Secure, stable OpenShift AI environments that support mission requirements.

Repeatable workflows for deploying and operating AI/ML workloads.

Reliable model-serving capabilities with appropriate monitoring and resource management.

Clear documentation and effective knowledge transfer that enable customer teams to operate and expand the platform.

Job Type: Full-time

Pay: $190,000.00 - $225,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Application Question(s):

• Do you have an ACTIVE Top Secret\SCI Clearance with CI Polygraph?
• Do you have a Red Hat Certified OpenShift Administrator certification?

Security clearance:

• Top Secret (Required)

Work Location: In person