AI/ML DevOps Engineer Principal
Job in
Austin, Travis County, Texas, 73301, USA
Listed on 2026-10-29
Listing for:
General Dynamics Information Technology, Inc.
Full Time
position Listed on 2026-10-29
Job specializations:
-
IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Data Engineering, AWS
Job Description & How to Apply Below
DEVOPS ENGINEER PRINCIPAL (100% Remote)
Role OverviewWe are seeking a Principal Dev Ops 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, Fin Ops, and cloud-native best practices.
Key Responsibilities- Design, deploy, and manage cloud-native infrastructure on AWS using Git Lab 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 Fin Ops capabilities, including AI infrastructure and model deployment pipelines.
- Troubleshoot Linux-based systems, optimize platform performance, and enforce operational best practices.
- 5+ years of experience in Platform Engineering, Dev Ops, or Cloud Engineering.
- Hands-on expertise with AWS, Amazon EKS, Linux, and Git Lab 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.
- 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, Dev Ops Engineer, or Kubernetes-focused certifications).
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