Principal DevOps Engineer: AI-Driven Cloud, Remote

General Dynamics Information Technology, Inc.; Fairfax (VA); Remote; USD 119,000 - 161,000; Full time

Job summary

General Dynamics Information Technology is seeking a Principal DevOps Engineer to design, build, and optimize scalable cloud infrastructure and platform services, with a strong emphasis on AI, MLOps, FinOps, and cloud-native best practices. This 100% remote role centers on AWS, EKS, IaC, and CI/CD.

You will lead the design and automation of data pipelines and AI workloads, ensure security and high availability, and drive operational excellence across Linux-based systems.

Qualifications

• 5+ years of experience in Platform Engineering, DevOps, or Cloud Engineering.
• Hands-on experience with AWS, Amazon EKS, Linux, and GitLab CI/CD.
• Strong SQL, ETL automation, and scalable data pipelines experience.
• Experience implementing or supporting AI, MLOps, or AIOps platforms.
• Strong scripting and automation skills with cloud-native technologies.

Responsibilities

• 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.

Skills

AWS

Amazon EKS

Linux

GitLab CI/CD

SQL

ETL automation

MLOps/AIOps

Scripting

Tools

Python

Bash

Go

Datadog

Job description

General Dynamics Information Technology is seeking a Principal DevOps Engineer to design, build, and optimize scalable cloud infrastructure and platform services, with a strong emphasis on AI, MLOps, FinOps, and cloud-native best practices. This 100% remote role centers on AWS, EKS, IaC, and CI/CD.

You will lead the design and automation of data pipelines and AI workloads, ensure security and high availability, and drive operational excellence across Linux-based systems.