Kubernetes Cloud Platform Engineer & Automation

Apple Inc.; Austin, Northern (TX, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Apple Inc. in Austin, Texas is seeking a motivated Software Engineer to join our team and help build reliable, secure, and scalable cloud platforms and services.

You will develop software and automation supporting production systems, Kubernetes platforms, cloud infrastructure, observability, analytics, and AI/ML workloads. You will collaborate with experienced engineers, SREs, and AI/ML teams to improve deployment, monitoring, and operation of our platforms, leveraging Python and Go and strong

Qualifications

• Strong foundation in software engineering with production software experience.
• Proficiency in Python and/or Go with testable code.
• Hands-on Kubernetes experience including deployment and troubleshooting.
• Experience with at least one major cloud platform (AWS, GCP, or Azure).
• Familiarity with IaC tools such as Terraform or Ansible.
• Understanding of reliability concepts (SLIs/SLOs, incident management, capacity planning).
• Experience with observability tools like Prometheus, Grafana, or OpenTelemetry.
• Ability to analyze data for trends and performance bottlenecks.
• Distributed systems knowledge.

Responsibilities

• Design, develop, test, and maintain software, services, APIs, and automation.
• Build and operate cloud-native services and platform capabilities.
• Deploy and troubleshoot applications on Kubernetes.
• Develop automation to simplify deployment and operations.
• Create dashboards and reporting for actionable insights.
• Collaborate with software engineers, SRE, security, and other teams.

Skills

Python

Go (Golang)

Kubernetes

Cloud platforms

Reliability Engineering

Observability

Analytics

Distributed Systems

Tools

Helm

Kustomize

Terraform

Ansible

Prometheus

Grafana

OpenTelemetry

Splunk

Docker

Job description

Apple Inc. in Austin, Texas is seeking a motivated Software Engineer to join our team and help build reliable, secure, and scalable cloud platforms and services.

You will develop software and automation supporting production systems, Kubernetes platforms, cloud infrastructure, observability, analytics, and AI/ML workloads. You will collaborate with experienced engineers, SREs, and AI/ML teams to improve deployment, monitoring, and operation of our platforms, leveraging Python and Go and strong