Senior Platform Engineer - Enterprise AI & Multi-Cloud

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About this kind of role

What a Senior Platform Engineer - Enterprise AI & Multi-Cloud usually does. The employer's own details are in the listing.

Typically does: A Senior Platform Engineer designs, builds, and maintains the underlying infrastructure that supports artificial intelligence and machine learning applications across multiple cloud environments. This role involves automating deployments, managing container orchestration, and ensuring the scalability and reliability of AI platforms. They collaborate with data scientists, machine learning engineers, and other stakeholders to optimize the development and deployment lifecycle. Responsibilities often include performance monitoring, troubleshooting, and implementing security best practices.

Tools and skills: Proficiency in cloud platforms (AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), infrastructure-as-code tools (Terraform, Ansible), scripting languages (Python, Bash), and experience with CI/CD pipelines is generally expected.

Good fit for: Individuals with a strong background in DevOps principles and a passion for building robust, scalable, and automated platforms are typically successful in this role.