Customer-Facing AI Platform Engineer (Kubernetes)

anyscale; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

Anyscale in San Francisco is seeking a Forward Deployed Engineer specialized in AI/ML Platforms. In this role, you'll collaborate with leading AI organizations to deploy infrastructures for their production AI workloads, ensuring robust and scalable solutions.

The position demands a minimum of 5 years of experience in cloud infrastructure and excellent communication skills for engaging with both technical and executive stakeholders. Proficiency with Kubernetes and automation tools such as Terraform is essential.

Qualifications

• 5+ years of experience in cloud infrastructure or software engineering.
• Experience deploying and operating ML/AI platforms.
• Strong software engineering skills in Python, Go, Java, or similar.

Responsibilities

• Design and implement AI platform architectures on Kubernetes.
• Troubleshoot distributed systems issues across infrastructure and networking.
• Develop automation and tooling that accelerates customer success.

Skills

Cloud infrastructure expertise

Kubernetes

Python

DevOps practices

Consulting experience

Tools

Terraform

AWS

Azure

GCP

Job description

Anyscale in San Francisco is seeking a Forward Deployed Engineer specialized in AI/ML Platforms. In this role, you'll collaborate with leading AI organizations to deploy infrastructures for their production AI workloads, ensuring robust and scalable solutions.

The position demands a minimum of 5 years of experience in cloud infrastructure and excellent communication skills for engaging with both technical and executive stakeholders. Proficiency with Kubernetes and automation tools such as Terraform is essential.