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Salary
≈ $190k – $363k per year (Estimated)
Location
In office (Seattle)
Seniority
Senior
Visa
H-1B filings in 12 months: 6,350 · for this role: 2,996 · green card filings: 37

Confirmed on the employer's own hiring board on Nov 2, 2026. First seen by Alion on Oct 31, 2022. Apple scores A on the Alion truth index.

Overview
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Profile match
Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.

Build and solve Linux production systems at scale. Multi-datacenter deployment and supporting a large-scale Linux environment with heterogeneous hardware. Build automation tools and scripts using Bash, Python, Go, etc. Design and support orchestration pipeline using Ansible and Puppet. Familiarity with Hadoop and its ecosystem Hive, Pig, Spark, HDFS, HBase, Oozie, Zookeeper, etc will be useful in this role. Fix and address issues with UNIX and TCP/IP network stack components. Design and support Linux systems (RedHat/OEL/CentOS etc) including automated OS installation, Linux certification, compile and validate various kernels, package management, OS lifecycle management, diagnostic, and performance troubleshooting/profiling.

Description

- This is Senior Linux system Engineer position with dedicated focus on E2E system validation

- Build, Automate and support critical infrastructure supporting applications used across multiple teams

- Run different automation pipelines in the large ecosystem, including provision, orchestration, and monitoring on

Linux baremetal and Linux Virtual Machines

- Collaborate across teams to run workloads and analyze/debug data

- Evolve and modify the Analytics Platform based on requirements

- Write code, tests, documentation, participate in code reviews

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