Forward-Deployed AI Platform Engineer

Speedrun Talent Network; San Francisco (CA); Presencial; USD 190.000 - 270.000; Jornada completa

Descripción de la vacante

Anyscale in San Francisco seeks a Forward Deployed Engineer - AI/ML Platforms to design, deploy, and operate production AI infrastructure for top customers using Ray. You’ll work with customer platform, infrastructure, and ML teams to build scalable AI platforms on Kubernetes and major clouds, and to operationalize distributed AI applications.

You’ll lead engagements from architecture to production readiness, develop automation, and translate customer needs into robust platform capabilities,

Formación

• 5+ years of experience in cloud infrastructure, platform engineering, DevOps, or software engineering.
• Experience building ML/AI platforms or large-scale data processing.
• Strong knowledge of Kubernetes and containerized production environments.

Responsabilidades

• Design and implement production-grade AI platform architectures on Kubernetes and public cloud infrastructure.
• Deploy, operate, and optimize distributed AI workloads for customers.
• Lead implementation engagements covering platform installation, networking, security, observability, scaling, upgrades.
• Troubleshoot complex distributed systems issues spanning infrastructure, Kubernetes, networking, storage, and AI applications.
• Develop automation and infrastructure-as-code to accelerate customer success.
• Build trusted relationships with technical leaders, platform teams, and executive stakeholders.
• Collaborate with Product and Engineering to communicate customer requirements and shape platform capabilities.
• Share best practices through technical documentation, architecture guidance, workshops, and enablement.

Conocimientos

Kubernetes

Cloud infra

DevOps

Python

Go

Java

Distributed systems

CI/CD

Terraform

GitOps

Networking

Herramientas

Terraform

Helm

CI/CD pipelines

Descripción del empleo

Anyscale in San Francisco seeks a Forward Deployed Engineer - AI/ML Platforms to design, deploy, and operate production AI infrastructure for top customers using Ray. You’ll work with customer platform, infrastructure, and ML teams to build scalable AI platforms on Kubernetes and major clouds, and to operationalize distributed AI applications.

You’ll lead engagements from architecture to production readiness, develop automation, and translate customer needs into robust platform capabilities,