AI/ML Data Engineer & DevOps Specialist

Jobtailor; Warrenton (VA); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor in Warrenton, VA seeks a senior DevOps/AI-ML engineer to design, build, and maintain ETL pipelines using Python and to implement containerization with OpenShift/Kubernetes. The role emphasizes security, automation, and collaboration across teams in a fast-paced environment.

The ideal candidate will have a bachelor’s degree with 8+ years of related experience, strong scripting skills, and the ability to obtain a Public Trust clearance. Travel of 10–25% is expected.

Qualifications

• Bachelor’s degree or higher required; 8+ years of related technical experience
• Fluency in AI/ML techniques and modern data processing
• Proficiency in scripting/automation (Bash, Python)
• Strong containerization knowledge (Docker, Podman) and OpenShift/Kubernetes
• Experience implementing CI/CD within SDLC and automating deployments
• Ability to work independently and with teams, client-facing experience preferred
• U.S. Citizenship required and ability to obtain Public Trust clearance
• Willingness to travel 10–25%

Responsibilities

• Design, build, and maintain ETL pipelines using Python to standardize data schemas.
• Implement and manage containerization strategies with OpenShift/Kubernetes.
• Collaborate to integrate CI/CD pipelines into the software lifecycle.
• Monitor, optimize, and secure DevOps processes across environments.
• Automate infrastructure deployment and configuration management.
• Troubleshoot and resolve issues in development, test, and production.
• Assist with security best practices in all DevOps procedures.
• Interact with clients and technical staff to ensure reliable service.

Skills

AI/ML techniques

Python

Bash

OpenShift/Kubernetes

Docker

CI/CD

Security best practices

Troubleshooting

Education

Bachelor's degree

Tools

Docker

Podman

OpenShift

Job description

Jobtailor in Warrenton, VA seeks a senior DevOps/AI-ML engineer to design, build, and maintain ETL pipelines using Python and to implement containerization with OpenShift/Kubernetes. The role emphasizes security, automation, and collaboration across teams in a fast-paced environment.

The ideal candidate will have a bachelor’s degree with 8+ years of related experience, strong scripting skills, and the ability to obtain a Public Trust clearance. Travel of 10–25% is expected.