Platform Engineer: Kubernetes & AI-Ready DevOps

AMD; San Jose (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

AMD is seeking a hands-on Platform Engineer to build and operate the infrastructure foundations that enable engineering teams to deliver reliable, scalable, and secure products. This role shapes the internal developer platform across Kubernetes, observability, AI-enabled workloads, CI/CD, and infrastructure as code.

You will collaborate with software, DevOps, security, and AI teams to turn platform capabilities into a simple, dependable developer experience.

Qualifications

• Bachelor's degree in CS/CE or related field, or equivalent practical experience.

Responsibilities

• Design, build, and operate scalable Kubernetes-based platform capabilities for development, test, and production workloads.
• Create reusable infrastructure-as-code modules and automated workflows using Terraform, Ansible, Helm, Kustomize, or equivalent.
• Develop and evolve platform observability: metrics, logs, traces, dashboards, alerting, and SLOs.
• Improve platform reliability, capacity management, security posture, and cost efficiency through automation.
• Build infrastructure to deploy and govern AI/ML workloads including model-serving and GPU-enabled compute.
• Enable self-service for product teams via platform APIs, templates, documentation, and CI/CD integrations.
• Partner with security, infra, AI teams to define standards and remove bottlenecks.
• Investigate production issues, perform root-cause analysis, and implement durable improvements.
• Contribute to technical roadmaps, architecture reviews, and engineering standards.

Skills

Kubernetes

Docker

Helm

Kustomize

Argo CD

Terraform

Ansible

Python

Go

Bash

CI/CD

Observability

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

Ansible

Helm

Kustomize

Argo CD

Flux

Prometheus

Grafana

OpenTelemetry

Loki

Job description

AMD is seeking a hands-on Platform Engineer to build and operate the infrastructure foundations that enable engineering teams to deliver reliable, scalable, and secure products. This role shapes the internal developer platform across Kubernetes, observability, AI-enabled workloads, CI/CD, and infrastructure as code.

You will collaborate with software, DevOps, security, and AI teams to turn platform capabilities into a simple, dependable developer experience.