Infrastructure as Code (IaC) Engineer

RTL Networks Inc•Placentia, CA

11d•$95,000 - $100,000•Onsite

About The Position

RTL Networks, Inc. is a rapidly growing company primarily focused on providing information technology (IT) support services and personnel to various commercial and government customers for extended-term contracts. By providing a wide array of professional services and products, we help our customers leverage technology and operate confidently in their technology environments to ensure resource predictability, security, and reliability to meet business objectives. RTL Networks has an exciting opportunity for an Infrastructure as Code (IaC) Engineer to support NAVAIR China Lake.

Requirements

Bachelor’s degree and 3 to 10+ years of experience.
Minimum active Secret clearance.
Strong written and verbal communication skills.
Analytical problem solving required.
US Citizenship required.
Must have and be able to maintain an Active Security Clearance.
Must pass pre-employment drug screening, credit review, and a criminal background check.

Nice To Haves

Valid driver’s license

Responsibilities

Build and maintain modular, reusable Terraform/CloudFormation/Pulumi (or similar) templates and modules.
Implement and enforce workflows, code review processes, and CI/CD pipelines for all infrastructure changes (GitOps).
Maintain multi-account/multi-environment (dev, test, prod) cloud setups via IaC.
Design scalable, secure, and highly available infrastructure to support Generative AI workloads (training, fine-tuning, inference).
Configure GPU-enabled compute environments optimized for AI/ML workloads.
Implement and manage networking, storage, IAM, and security policies tailored to AI data pipelines and model hosting.
Collaborate with data scientists, ML engineers, and software engineers to understand workload requirements and translate them into infrastructure designs.
Implement automation for model deployment, scaling, blue/green or canary releases, and rollbacks.
Integrate MLOps and AI tooling (e.g., model registries, experiment tracking, feature stores) into the infrastructure.
Develop AI/ML Agents
Apply security best practices (least privilege, network segmentation, encryption, secrets management) in all infrastructure.
Set up and maintain monitoring, logging, and tracing for infrastructure and AI workloads using modern observability tools.
Contribute to incident response, root cause analysis, and reliability improvements for infrastructure-related issues.