SRE Compute Infra Engineer — AI-Driven Automation

Apple; Seattle (WA); On-site; USD 120,000 - 160,000; Full time

Job summary

Apple is hiring an experienced SRE software engineer to build and enhance compute infrastructure for the ASE Compute team. You will focus on VM lifecycle management and bare metal provisioning, ensuring scalable, high-availability services across Apple's Cloud Platform.

You will work with world‑class engineers on core components, automate workflows, and leverage AI-assisted automation to accelerate triage and operations, while collaborating with multiple engineering teams.

Qualifications

• Bachelor's degree in Computer Science, engineering-related field, or equivalent experience.
• 1+ year in a Site Reliability Engineering infrastructure focused role.
• Strong experience building and scaling cloud infrastructure and large-scale distributed systems.
• Proficiency with Go or Python and OpenStack, Kubernetes.

Responsibilities

• Design, build and implement VM orchestration and bare metal provisioning in a distributed environment.
• Operate, monitor, and triage production and non-production compute environments.
• Prepare runbooks and collaborate with SRE teams; participate in on-call rotations.
• Automate deployment and orchestration of compute infrastructure and routines.
• Leverage AI to gain insights and build tools for production environments.
• Collaborate with engineering, QA, and program management teams.

Skills

Go

Python

Cloud infrastructure

Distributed systems

Kubernetes

OpenStack

Automation

Terraform

Ansible

Chef

Education

Bachelor's degree in CS or related field

Advanced degree preferred

Tools

KVM

Terraform

Chef

Ansible

Job description

Apple is hiring an experienced SRE software engineer to build and enhance compute infrastructure for the ASE Compute team. You will focus on VM lifecycle management and bare metal provisioning, ensuring scalable, high-availability services across Apple's Cloud Platform.

You will work with world‑class engineers on core components, automate workflows, and leverage AI-assisted automation to accelerate triage and operations, while collaborating with multiple engineering teams.