AI DevOps Engineer
AI DevOps Engineer
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Job Description
AI DevOps Engineer:
As part of the AI Technology group we seek a Senior DevOps Engineer an Infrastructure as Code expert who can contribute to the development and delivery of Customer AI platform and the AI solutions built on top of it.
Mandatory Skills: DevOps GitHub Python.
Experience with AI and ML is a plus.
Responsibilities:
Contribute to the definition architecture development & maintenance phases of the Infrastructure as Code technical stack for the customers AI Hub
Participate in automation initiatives to streamline processes improve efficiency monitor scale and reduce cost of cloud infrastructure
Ensure the development process of the AI DevOps stack follows the DevSecOps recommendations & best practices
Contribute to the definition of the AI DevOps practice model
Work closely with the other teams from AI Technology group to ensure the smooth integration of the IaC DevOps practice within Platform Engineering
Work closely with the different AI Hub teams for continuous improvement
Ability to analyse and troubleshoot complex software and infrastructure issues and develop tools and systems for task automation
Maintain 100% automatic coverage of build and deploy using cloud services Participate in technical discussions with AI Hub teams
Participate to the support and run rotation
Requirements and Skills:
2 to 5 years of experience in software development with 2 years as DevOps engineer in Public Cloud and/or Edge
Strong knowledge of DevOps processes at scale and experience of production systems
knowledge of Infrastructure as Code technologies and practices
Good understanding of data architecture and data privacy
Strong notions of cloud and edge security best practices
Experience with AI and ML technology and services is a plus
Technologies: Github Python AWS Terraform Ansible
Familiar with Agile methodologies: Scrum SAFe
Employment Type
Full Time
