Senior Platform Application Engineer, Cloud AI Infrastructure

About this kind of role

What a Senior Platform Application Engineer, Cloud AI Infrastructure usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains platform applications that support artificial intelligence and machine learning workloads within a cloud environment. This includes building and optimizing infrastructure components, automating deployment processes, and ensuring the scalability and reliability of AI platforms. Responsibilities often involve collaborating with data scientists, machine learning engineers, and cloud operations teams to meet evolving business needs. Troubleshooting and resolving complex technical issues related to the platform is also a key aspect of the role.

Tools and skills: Proficiency in cloud platforms (such as AWS, Azure, or Google Cloud), containerization technologies (Docker, Kubernetes), scripting languages (Python, Bash), and experience with infrastructure-as-code tools (Terraform, CloudFormation) is generally required.

Good fit for: Individuals with a strong background in software engineering and cloud computing, combined with a passion for artificial intelligence and a desire to build robust and scalable platforms, typically thrive in this role.