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Job Type
Full-time
Description
Position Title: Infrastructure as Code (IaC) Engineer
Location: NAWS China Lake, Ridgecrest, CA/ Point Mugu
Status: Full-time
Clearance: Secret
Salary: The annual salary range for this position is $95,000 - $100,000. Please note that the salary information is a general guideline only. RTL Networks considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer.
About Us: 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.
Primary Responsibilities:
Essential responsibilities of the Infrastructure as Code (IaC) Engineer include, but are not limited to:
Infrastructure as Code Design & Implementation
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.
Cloud Infrastructure for Generative AI
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.
Platform & Tooling for AI/ML and AI/ML Development
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
Cyber Security, Reliability & Observability
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.
Qualifications:
Physical Demands:
SECURITY CLEARANCE REQUIREMENTS: Must hold a security clearance at the Secret level. US Citizenship is a requirement for clearance at this location.
NOTE:
We are an Equal Opportunity Employer, Females/Minority/Veterans/Disabled/Sexual Orientation/Gender Identity/Religion/National Origin
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Salary Description
$95,000 - $100,000 per year