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# AI/ML DevOps Engineer Principal

- **Company:** General Dynamics Information Technology
- **Location:** Fairfax, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $119,000.0 - $161,000.0
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Artificial Intelligence, Amazon Web Services, Bash Shell, Cloud Engineering, Continuous Integration, Data Infrastructure, Extract Transform Load (ETL), Linux, DevOps, Python (Programming Language), Linux System Administration, Tensorflow, Software Engineering, SQL Databases, Systems Integration, AI Infrastructure, Datadog, Cloud Platform System, System Availability, Large Language Models, Grafana, Infrastructure as Code (IaC), Containerization, Gitlab-ci, Kubernetes, Machine Learning Operations, AIOps, Data Pipelines
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3467380709&tx=FK5956FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Data Pipelines,DevOps,GitLab CI/CD,Infrastructure As Code (IaC),Kubernetes

Experience:

5 + years of related experience, * 5+ years of experience in Platform Engineering, DevOps, or Cloud Engineering.

 * Hands-on expertise with AWS, Amazon EKS, Linux, and GitLab CI/CD.
 * Strong experience with SQL, ETL automation, and building scalable data pipelines.
 * Experience implementing or supporting AI, MLOps, or AIOps platforms.
 * Strong scripting and automation skills, with a focus on cloud-native technologies.

Preferred Skills

 * Experience with Python, Bash, or Go for automation and platform development.
 * Knowledge of container security, Kubernetes networking, and observability tools.
 * Familiarity with monitoring platforms such as Datadog.
 * Experience with AI/ML frameworks, vector databases, or enterprise LLM integrations.
 * AWS certifications (e.g., Solutions Architect Associate, DevOps Engineer, or Kubernetes-focused certifications).

## Description

We are seeking a Principal DevOps Engineer to design, build, and optimize scalable cloud infrastructure and platform services that support modern application development and AI-driven solutions. This role centers on AWS, Kubernetes (Amazon EKS), Infrastructure as Code, CI/CD automation, and data platform engineering, with an emphasis on AI, MLOps/AIOps, FinOps, and cloud-native best practices., * Design, deploy, and manage cloud-native infrastructure on AWS using GitLab CI/CD.

 * Build and support Kubernetes platforms (Amazon EKS) with a focus on scalability, security, and high availability.
 * Develop and automate ETL workflows and data pipelines for analytics and AI workloads.
 * Implement and support MLOps/AIOps and FinOps capabilities, including AI infrastructure and model deployment pipelines.
 * Troubleshoot Linux-based systems, optimize platform performance, and enforce operational best practices.