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# DevSecOps & AI Platform Engineer (Hybrid)

- **Company:** RTX
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Salary:** $86,800 - $165,200
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Computing Platforms, User Authentication, Microsoft Azure, Bash Shell, Cloud Computing, Cyber Security, Continuous Integration, Distributed Systems, Identity and Access Management, Python (Programming Language), Key Management, Windows PowerShell, OpenAI, Ansible, Prometheus, Azure Machine Learning, AI Infrastructure, Scripting, Enterprise Software Applications, Cloud Platform System, Large Language Models, Grafana, Software Troubleshooting, Generative AI, Backend, Git, Containerization, AI Platforms, Git Flow, Kubernetes, Infrastructure Automation Frameworks, Deployment Automation, Machine Learning Operations, Terraform, Devsecops
- **Published:** November 7, 2026
- **Apply:** https://globalhr.wd5.myworkdayjobs.com/REC_RTX_Ext_Gateway/job/US-NC-CHARLOTTE-2730--2730-W-Tyvola-Rd--TYVOLA/DevSecOps---AI-Platform-Engineer--Hybrid-_01887473

## About the Role

* Typically requires a University Degree and 5 years of relevant experience, or an Advanced Degree with 3 years of relevant experience.
 * U.S. Citizen - U.S. citizenship is required, as only U.S. citizens are authorized to access certain necessary systems or sites.
 * Experience with Infrastructure as Code (Terraform preferred).
 * Experience working with Kubernetes and containerized applications.
 * Experience with automation and configuration management tools such as Ansible.
 * Experience designing, supporting, or maintaining CI/CD pipelines and Git-based workflows.
 * Experience with cloud platforms such as AWS, Azure, or GCP.
 * Scripting experience using Python, Bash, PowerShell, or similar languages.
 * Understanding of DevSecOps principles and secure software delivery practices.
 * Knowledge of identity and access management, authentication, authorization, and secrets management.
 * Strong troubleshooting, problem-solving, and analytical skills.
 * Ability to collaborate effectively across technical teams.
 * Experience working in Agile development environments.

Qualifications We Prefer:

 * Experience supporting AI/LLM platforms and services.
 * Familiarity with Retrieval-Augmented Generation (RAG), vector databases, and AI APIs.
 * Experience with Azure OpenAI, Azure AI Services, AWS Bedrock, or similar technologies.
 * Experience with observability tools such as Grafana, Prometheus, and OpenTelemetry.
 * Experience supporting regulated or security-focused environments.
 * Knowledge of MLOps, AI governance, and AI security best practices.

## Description

* Design, implement, and support cloud-native infrastructure using Kubernetes, Terraform, and automation frameworks.
 * Maintain secure, scalable, and highly available platform services supporting enterprise applications and AI-enabled workloads.
 * Contribute to platform standards, operational best practices, and continuous improvement initiatives.
 * Infrastructure as Code & Automation.
 * Develop and maintain Infrastructure-as-Code solutions using Terraform.
 * Automate provisioning, configuration, and operational processes using Ansible and scripting languages.
 * Improve deployment consistency, reliability, and operational efficiency through automation.
 * Kubernetes & Platform Operations
 * Support and optimize Kubernetes environments for application and platform workloads.
 * Troubleshoot infrastructure, deployment, performance, and integration issues across distributed systems.
 * AI Platform & Backend Enablement
 * Support the organization's growing adoption of AI technologies and services.
 * Assist in building and operationalizing foundational AI platform capabilities, including AI service integrations, automation, monitoring, and security controls.
 * Collaborate with cross-functional teams to evaluate and implement emerging AI infrastructure and platform solutions.
 * Enable scalable AI workloads through cloud-native infrastructure, containerization, and automation.
 * Contribute to the development of infrastructure supporting AI-enabled applications, including Retrieval-Augmented Generation (RAG), vector databases, and AI service integrations.
 * CI/CD & DevSecOps Engineering.
 * Design, build, and maintain secure CI/CD pipelines and Git-based development workflows.
 * Partner with development, infrastructure, cybersecurity, and architecture teams to deliver secure and reliable platforms.
 * Share knowledge and best practices related to Kubernetes, automation, DevSecOps, and AI platform operations.

What You Will Learn:

 * In this role you will enhance your skills in platform technologies that support engineering applications.
 * The position offers a unique opportunity to help establish foundational AI platform infrastructure, operational practices, and automation capabilities that will support future growth and adoption across the enterprise.