Principal Application DevOps Engineer, AI & Automation
Job Description
About this kind of role
What a Principal Application DevOps Engineer, AI & Automation usually does. The employer's own details are in the listing.
Typically does: This role focuses on the design, implementation, and maintenance of the infrastructure and pipelines supporting artificial intelligence and automation applications. Responsibilities include automating deployment processes, monitoring system performance, and ensuring the scalability and reliability of AI-driven services. Collaboration with development, security, and data science teams is essential to optimize workflows and resolve issues. The engineer will also be involved in defining and enforcing DevOps best practices.
Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), configuration management tools (Ansible, Chef, Puppet), scripting languages (Python, Bash), and CI/CD pipelines is generally required.
Good fit for: Individuals with a strong background in both application development and DevOps principles, and a passion for leveraging automation to improve efficiency, are typically successful in this role.
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