Senior DevOps Engineer: AI & Data Platform on Azure

Systematix group; Maryland; On-site; USD 150,000 - 210,000; Full time

Job summary

Systematix is seeking a Senior DevOps Engineer for AI & Data Platform to modernize and automate engineering practices across enterprise AI workloads. You will actively design, implement and optimize pipelines, IaC and cloud provisioning while collaborating with Platform Engineering and MLOps teams.

In this hands-on role, you will build reusable tooling, automate deployments, and establish robust SDLC standards to accelerate development and improve reliability across teams.

Qualifications

• Extensive senior DevOps experience in enterprise environments.
• Strong hands-on experience with Microsoft Azure.
• Expertise in Infrastructure as Code and automated cloud provisioning.
• Proficient in designing, building and maintaining CI/CD pipelines.
• Hands-on with GitHub, GitHub Actions or comparable CI/CD tech.
• Experience with Docker, Kubernetes and containerized workloads.
• Advanced scripting and automation capabilities.
• Understanding of modern SDLC, source control and release practices.
• Experience building reusable automation and tooling templates.
• Ability to lead while remaining hands-on in engineering work.

Responsibilities

• Design, build and maintain CI/CD pipelines for cloud infra and AI workloads.
• Implement IaC and automated Azure cloud provisioning.
• Create standardized deployment patterns for Dev, UAT and Production.
• Automate testing, validation, deployment and release processes.
• Develop reusable tooling, templates and automation components.
• Integrate automations with GitHub-based workflows.
• Design GitHub Actions or equivalent CI/CD workflows.
• Support containerized apps with Docker and Kubernetes.
• Collaborate with Platform Engineering and MLOps teams.
• Build self-service capabilities for developers, data scientists and ML engineers.
• Identify and replace manual processes with scalable automation.

Skills

Senior DevOps

Azure

CI/CD pipelines

Docker

Kubernetes

Python scripting

GitHub Actions

Automation

Security & governance

Tools

Terraform

Job description

Systematix is seeking a Senior DevOps Engineer for AI & Data Platform to modernize and automate engineering practices across enterprise AI workloads. You will actively design, implement and optimize pipelines, IaC and cloud provisioning while collaborating with Platform Engineering and MLOps teams.

In this hands-on role, you will build reusable tooling, automate deployments, and establish robust SDLC standards to accelerate development and improve reliability across teams.