Workload Solutions Engineer (AI/ML, HPC)

5-9 Years

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Job Description

Demonstrated hands-on expertise and working with container technologies (Kubernetes, Docker) and developing complex solutions
Demonstrate technical architecture and design skills
Demonstrated understanding of infrastructure design and hands-on experience working with hardware (e.g. server, storage, networking) preferably
Strong Linux OS and performance experience
Demonstrated workload experience in one or more key use-case segments (AI/ML, Analytics, HPC)
Strong analytical and problem-solving skills.
Advanced Python, Powershell, Javascript, Node.js or similar languages
Ansible, Terraform and other scripting / automation toolkits
Experience with Agile development practices