The Azure DevOps Engineer must accomplish the following:
- Provision and manage infrastructure optimized for ML workflows through Infrastructure as Code in the Cloud and On-Premise.
- Implement CI/CD pipelines for build, test, and deployment automation.
- Capacity to use high-performance computing, GPU technologies, and large-scale cloud-based (e.g. AWS, GCP) distributed systems. Monitor and robustify the platform.
- Experience with container-based development and deployment.
- Experience with large shared storage systems and fast distributed networks.
- Develop tools to enhance the platform and extend automation possibilities.
- In-depth understanding of modern distributed software architectures.
- Strong project management and organizational skills; experience supporting and working with cross-functional teams in a dynamic environment; excellent written and verbal communication skills.
Who You are
- Experience working with a range of Azure services
- Understanding of large-scale infrastructure and cloud architectures
- Ability to write robust code in Python and/or Golang
- Ability to work in a team
- BSc in Computer Science or a similar field; a Master’s degree is a plus
- Experience with Kubernetes is a strong plus
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