Cloud Engineer / AI Infrastructure Engineer

Arch Systems, LLC; California; On-site; USD 140,000 - 210,000; Full time

Job summary

Arch Systems LLC is seeking an experienced Cloud Engineer / AI Infrastructure Engineer with an active TS/SCI clearance to support secure government AI platforms across cloud, on‑prem, and air‑gapped environments.

The role focuses on Kubernetes, GPU‑enabled infrastructure, and AI model serving, with collaboration across cybersecurity and solution architecture teams. This 100% onsite position requires relocation to California or Colorado.

Qualifications

• Active TS/SCI security clearance is mandatory.
• Must be able to work 100% onsite in California or Colorado.
• 5+ years of experience in cloud engineering, DevOps, infrastructure engineering, systems engineering, or related disciplines.
• Strong hands-on experience administering and troubleshooting Linux systems.
• Experience deploying and maintaining Kubernetes environments and containerized applications.
• Proficiency with Docker and Kubernetes, Helm.

Responsibilities

• Design, deploy, configure, and maintain cloud-native and on-premises infrastructure for enterprise AI apps.
• Install, configure, administer, and troubleshoot Kubernetes clusters and containerized apps.
• Deploy and maintain Kamiwaza-based AI orchestration platforms using Kubernetes and Helm.
• Provision compute, networking, storage across cloud, hybrid, on-prem environments.
• Support GPU-enabled infrastructure, AI inference workloads, and model serving environments.
• Implement Infrastructure as Code with Terraform, Ansible, or similar tools.
• Develop CI/CD pipelines for deployments, configuration, and automation.
• Configure networking, DNS, load balancing, and secure service connectivity.
• Implement IAM, secrets management, encryption, and network policies.
• Monitor and optimize infrastructure performance and capacity.
• Ensure security compliance and hardening per federal requirements.
• Collaborate with AI engineers, cybersecurity teams, and architects.

Skills

Cloud engineering

Kubernetes

Linux

Automation

Networking

CI/CD

Security

Python

Terraform

Ansible

Education

Bachelor's degree in Computer Science, IT, or related field

Tools

Kamiwaza

Docker

Helm

Terraform

Ansible

Job description

Position Type: Full-Time

Experience Level: Mid-Level / Senior

Security Clearance: Active TS/SCI Required (Mandatory)

Position Overview

Arch Systems LLC is seeking an experienced Cloud Engineer / AI Infrastructure Engineer with an active TS/SCI security clearance to support the deployment, configuration, integration, security, and operation of enterprise AI infrastructure for federal and Department of Defense (DoD) missions.

The selected candidate will work with cloud-native and AI orchestration platforms, including Kamiwaza, to deploy, maintain, and optimize secure AI infrastructure across cloud, on-premises, hybrid, and restricted Government environments.

This position requires strong hands‑on expertise in Kubernetes, Linux, containerization, cloud infrastructure, networking, automation, and DevOps practices. The engineer will support AI model serving, GPU‑enabled computing, distributed workloads, and enterprise AI platform operations.

Prior experience with Kamiwaza is not required. Candidates must demonstrate the technical knowledge and engineering capabilities necessary to rapidly learn, deploy, configure, troubleshoot, and maintain the platform.

This is a 100% onsite position in California or Colorado, supporting secure Government operations. Remote work is not available.

Key Responsibilities

• Design, deploy, configure, and maintain cloud‑native and on‑premises infrastructure supporting enterprise AI applications and platforms.
• Install, configure, administer, and troubleshoot Kubernetes clusters and containerized applications.
• Deploy and maintain enterprise AI orchestration platforms, including Kamiwaza, using Kubernetes, Helm, and associated deployment technologies.
• Provision and manage compute, networking, storage, and container infrastructure across cloud, hybrid, and on‑premises environments.
• Support GPU‑enabled infrastructure, AI inference workloads, and containerized model‑serving environments.
• Configure and maintain Linux servers, container runtimes, Kubernetes resources, and supporting infrastructure components.
• Implement and maintain Infrastructure as Code using Terraform, Ansible, or comparable automation technologies.
• Develop and maintain CI/CD pipelines for application deployments, platform configuration, infrastructure provisioning, and operational automation.
• Configure networking, DNS, load balancing, ingress controllers, firewall rules, and secure service connectivity.
• Implement identity and access management, secrets management, encryption, network policies, and secure platform access controls.
• Support AI infrastructure components, including inference services, model repositories, databases, persistent storage, and application APIs.
• Monitor and optimize infrastructure performance, resource allocation, availability, reliability, and system capacity.
• Implement monitoring, logging, alerting, backup, recovery, and troubleshooting procedures.
• Support deployments in disconnected, air‑gapped, and classified environments when required by the Government customer.
• Apply system hardening, vulnerability remediation, configuration management, and federal cybersecurity requirements.
• Collaborate with AI engineers, application developers, cybersecurity teams, and solution architects to support AI workload deployments.
• Develop infrastructure documentation, deployment guides, architecture diagrams, operating procedures, and configuration standards.

Required Qualifications

• Active TS/SCI security clearance is mandatory.
• Must be able to work 100% onsite in California or Colorado.
• 5+ years of experience in cloud engineering, DevOps, infrastructure engineering, systems engineering, or related technical disciplines.
• Strong hands‑on experience administering and troubleshooting Linux systems.
• Experience deploying and maintaining Kubernetes environments and containerized applications.
• Proficiency with Docker or other OCI‑compatible container technologies, Kubernetes, and Helm.
• Experience with at least one major cloud platform, such as AWS or Azure, or substantial enterprise on‑premises infrastructure experience.
• Experience automating infrastructure deployments and configuration using Terraform, Ansible, Bash, Python, or comparable tools.
• Familiarity with CI/CD pipelines, Git, and infrastructure automation.
• Strong understanding of networking fundamentals, including TCP/IP, DNS, TLS, routing, load balancing, and firewalls.
• Experience managing infrastructure security, access controls, credentials, encryption, and secrets.
• Experience troubleshooting complex infrastructure, distributed applications, and system integration issues.
• Understanding of enterprise storage, compute, virtualization, and infrastructure monitoring.
• Ability to rapidly learn, deploy, and support new infrastructure platforms and emerging AI technologies.

Preferred Qualifications

• Experience with AWS GovCloud, Azure Government, DoD cloud platforms, or Government‑operated private infrastructure.
• Experience with Red Hat OpenShift or enterprise Kubernetes distributions.
• Experience with NVIDIA GPU infrastructure, CUDA, GPU resource allocation, or AI inference environments.
• Familiarity with AI model‑serving technologies such as vLLM, llama.cpp, or similar tools.
• Experience supporting distributed AI workloads, GPU scheduling, and containerized machine learning environments.
• Familiarity with Ray, Istio, service meshes, or enterprise ingress and API gateways.
• Experience with PostgreSQL, object storage, distributed storage, and enterprise data infrastructure.
• Experience implementing observability solutions using Prometheus, Grafana, OpenTelemetry, or comparable platforms.
• Experience operating infrastructure in disconnected, air‑gapped, classified, or restricted‑network environments.
• Knowledge of DISA STIGs, NIST SP 800‑53, DoD Risk Management Framework (RMF), and federal security requirements.
• Experience with GitOps tools such as Argo CD or Flux.
• Relevant certifications such as Certified Kubernetes Administrator (CKA), AWS Solutions Architect, Azure Administrator, RHCE, or equivalent.
• Prior exposure to enterprise AI orchestration platforms, including Kamiwaza, is a plus but not required.

Education

Bachelor's degree in Computer Science, Information Technology, Computer Engineering, Systems Engineering, Cybersecurity, or a related technical field. Equivalent relevant professional experience and technical certifications may be considered.

Work Location & Security Requirements

• Location: California or Colorado, based on project assignment.
• Work Arrangement: 100% onsite; no remote work.
• Candidates must reside within commuting distance of the assigned facility or be willing to relocate.
• Must possess and maintain an active TS/SCI security clearance.
• Must be able to support infrastructure operating within secure Government facilities and classified environments.
• Must comply with applicable Government security, system access, and information handling requirements.
• Additional customer‑specific access approvals may be required.

Ideal Candidate

An experienced cloud or infrastructure engineer with strong Kubernetes, Linux, automation, networking, and platform deployment expertise who can rapidly learn and support enterprise AI orchestration technologies.

The ideal candidate has experience deploying complex containerized applications, understands secure infrastructure operations, and can work with AI engineers to deliver reliable AI capabilities in classified Government environments. Previous experience with Kamiwaza is not necessary.