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Senior DevOps Engineer for AI Platforms

Skills

aiautomationazureci cdclouddevopsdockergithubgithub actionsinfrastructure as codekubernetesmlopsAzureDockerKubernetesCI/CD

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.

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