Senior DevOps Engineer for AI Platforms
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.
- Compensation
- Not disclosed
- Location
- Winnipeg, Canada
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 10+ years
- Category
- Devops
- Posted
Skills
Must have
- 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
Full description
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.