Senior DevOps Engineer for AI Platforms
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Summary
Hands-on Senior DevOps Engineer at Systematix in Winnipeg, designing CI/CD pipelines and automating Azure cloud infrastructure with Infrastructure as Code for AI and data platforms. Works with Platform Engineering and MLOps teams using GitHub Actions, Docker, and Kubernetes.
Elevate engineering practices as a Senior DevOps Engineer for AI & Data at Systematix. This hands-on role focuses on automating infrastructure and building critical CI/CD pipelines.
Systematix seeks a skilled professional with extensive DevOps engineering experience, particularly in automated infrastructure and CI/CD pipelines in AI and data platforms. You will work alongside Platform Engineering and MLOps teams to create efficient, reliable engineering processes that enhance deployment speed and operational effectiveness.
Key Responsibilities: • Design CI/CD pipelines for cloud infrastructure and AI workloads • Automate Azure cloud provisioning with Infrastructure as Code • Troubleshoot deployment issues through incident management • Develop and maintain reusable engineering tools and templates • Integrate CI/CD workflows with GitHub Actions and container support
Requirements: • 10+ years of DevOps engineering experience • Strong hands-on experience with Microsoft Azure • Expertise in CI/CD pipeline design and automation • Proficiency with Docker and Kubernetes • Advanced scripting and automation skills
Drive automation and transform infrastructure management to support enterprise AI initiatives at Systematix.
Systematix seeks a skilled professional with extensive DevOps engineering experience, particularly in automated infrastructure and CI/CD pipelines in AI and data platforms. You will work alongside Platform Engineering and MLOps teams to create efficient, reliable engineering processes that enhance deployment speed and operational effectiveness.
Key Responsibilities: • Design CI/CD pipelines for cloud infrastructure and AI workloads • Automate Azure cloud provisioning with Infrastructure as Code • Troubleshoot deployment issues through incident management • Develop and maintain reusable engineering tools and templates • Integrate CI/CD workflows with GitHub Actions and container support
Requirements: • 10+ years of DevOps engineering experience • Strong hands-on experience with Microsoft Azure • Expertise in CI/CD pipeline design and automation • Proficiency with Docker and Kubernetes • Advanced scripting and automation skills
Drive automation and transform infrastructure management to support enterprise AI initiatives at Systematix.