Senior AI & Data Platform DevOps Engineer

Systematix group; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Systematix is seeking a Senior DevOps Engineer - AI & Data Platform to modernize and automate engineering practices for a rapidly growing AI/Data ecosystem. You will design, implement and operate CI/CD pipelines, IaC, and cloud automation across Azure, Docker and Kubernetes environments.

This contract role requires hands-on senior engineering leadership, deep expertise in DevOps patterns, and collaboration with MLOps, Platform Engineering and data teams to deliver scalable, reliable solutions.

Qualifications

• Extensive senior-level DevOps experience in complex enterprise environments.
• Strong hands-on experience with Microsoft Azure.
• Demonstrated expertise with Infrastructure as Code and automated cloud provisioning.
• Strong experience designing, building and maintaining enterprise CI/CD pipelines.
• Hands-on experience with GitHub, GitHub Actions or comparable Git-based CI/CD technologies.
• Strong experience with Docker, Kubernetes and containerized workloads.
• Advanced scripting and automation capabilities.
• Strong understanding of modern SDLC, source control, release management and deployment practices.
• Experience developing reusable automation, engineering templates, deployment patterns and tooling.
• Experience integrating infrastructure automation with application development and deployment workflows.
• Demonstrated experience transforming manual engineering environments into automated, code-driven platforms.
• Strong troubleshooting and problem-solving capabilities.
• Ability to operate as both senior technical advisor and hands-on engineer.
• Strong communication and collaboration across DevOps, Platform Engineering, MLOps, cloud, security, data and application teams.

Responsibilities

• Design, build and maintain CI/CD pipelines for cloud infra, apps and AI/ML workloads.
• Implement Infrastructure as Code and automated Azure provisioning.
• Create standardized deployment patterns for Development, UAT and Production.
• Automate testing, validation, deployment and release processes.
• Develop reusable engineering tooling, templates and automation components.
• Integrate automation with GitHub-based workflows.
• Design and implement GitHub Actions or equivalent CI/CD workflows.
• Support containerized apps with Docker and Kubernetes.
• Collaborate with Platform Engineering to automate Azure provisioning and deployments.
• Partner with MLOps to automate ML lifecycle and deployment processes.
• Build self-service capabilities for development, data science and ML teams.
• Identify and replace manual processes with scalable automation.
• Improve deployment speed, consistency and developer experience.
• Implement security, governance and operational controls in automation.

Skills

DevOps

Azure

CI/CD

GitHub Actions

Docker

Kubernetes

IaC

Scripting

Security governance

Tools

GitHub

Terraform

Azure CLI

Job description

Systematix is seeking a Senior DevOps Engineer - AI & Data Platform to modernize and automate engineering practices for a rapidly growing AI/Data ecosystem. You will design, implement and operate CI/CD pipelines, IaC, and cloud automation across Azure, Docker and Kubernetes environments.

This contract role requires hands-on senior engineering leadership, deep expertise in DevOps patterns, and collaboration with MLOps, Platform Engineering and data teams to deliver scalable, reliable solutions.