Senior Site Reliability Engineer - Data Platform at Scale

Socket.dev; Austin (TX); On-site; USD 150,000 - 230,000; Full time

Job summary

Apple is seeking a Platform Site Reliability Engineer to manage data platform infrastructure, processing, governance, and storage across cloud and on-prem environments. The role emphasizes reliability, scalability, and security for global products and services.

The candidate will operate large-scale systems, enhance automation, and collaborate across teams to ensure performance and resilience. A strong background in distributed systems and cloud-native tooling is required.

Qualifications

• BS/MS in Computer Science or Equivalent; 5+ years of software development or production operations experience.
• Proficiency in Go, Python, or Java with standard delivery platforms.
• Experience operating production applications at scale, including HA/DR, capacity planning, and distributed systems on Kubernetes.
• Understanding of Linux, containers/virtualization, networking.
• Strong ownership, communication and problem-solving using the scientific method.

Responsibilities

• Operate and maintain production data platform infrastructure and services.
• Design and implement scalable, reliable data processing and governance workflows.
• Collaborate with cross-functional teams to ensure reliability and performance.
• Plan capacity and disaster recovery strategies for cloud and on-prem environments.

Skills

Go / Python / Java programming

Kubernetes

Linux systems engineering

Ownership & collaboration

Troubleshooting & problem solving

Education

BS/MS in Computer Science or equivalent

Tools

Kubernetes

Docker

Cloud platforms (AWS / GCP)

Job description

Apple is seeking a Platform Site Reliability Engineer to manage data platform infrastructure, processing, governance, and storage across cloud and on-prem environments. The role emphasizes reliability, scalability, and security for global products and services.

The candidate will operate large-scale systems, enhance automation, and collaborate across teams to ensure performance and resilience. A strong background in distributed systems and cloud-native tooling is required.