Job description

As a Infrastructure Lab Engineer, you will support large-scale device lab environments that enable hardware and software development across multiple engineering teams. You will combine hands-on lab operations, automation, infrastructure management, and technical troubleshooting to ensure devices remain healthy, available, and ready for testing. This role offers the opportunity to work on complex operational challenges, improve system reliability, and develop scalable solutions that enhance both engineering productivity and customer outcomes. Identifying opportunities to improve operational efficiency through automation, telemetry, and data-driven insights Supporting AI-assisted and automated workflows that improve device health, recovery outcomes, deployment verification, and overall lab reliability Leveraging operational metrics and analytics to identify bottlenecks and drive scalable operational improvements 2–3+ years of experience supporting software services in a Unix-based environment Exposure to automated provisioning processes Basic scripting experience in Shell or Python Familiarity with configuration management tools such as Puppet, Ansible, or similar Working knowledge of Git or other source control systems Experience contributing to shared repositories and collaborative development workflows Strong communication skills and ability to collaborate effectively with engineering teams Willingness to learn and apply structured problem-solving approaches Strong attention to detail and a service-oriented mindset Experience working in fast-paced engineering environments Exposure to working with service-based systems and RESTful services Basic understanding of LAN networking concepts (DNS, DHCP, routing) Experience working in structured lab environments with high-density hardware deployments Experience supporting macOS and/or iOS devices in a lab environment Familiarity with device provisioning, deployment, and lifecycle management Experience troubleshooting hardware, software, and infrastructure issues

Requirements

Must-haves

Identifying opportunities to improve operational efficiency through automation, telemetry, and data-driven insights
Supporting AI-assisted and automated workflows that improve device health, recovery outcomes, deployment verification, and overall lab reliability
Leveraging operational metrics and analytics to identify bottlenecks and drive scalable operational improvements
2–3+ years of experience supporting software services in a Unix-based environment
Exposure to automated provisioning processes
Basic scripting experience in Shell or Python
Familiarity with configuration management tools such as Puppet, Ansible, or similar
Working knowledge of Git or other source control systems
Experience contributing to shared repositories and collaborative development workflows
Strong communication skills and ability to collaborate effectively with engineering teams
Willingness to learn and apply structured problem-solving approaches
Strong attention to detail and a service-oriented mindset
Experience working in fast-paced engineering environments
Exposure to working with service-based systems and RESTful services
Basic understanding of LAN networking concepts (DNS, DHCP, routing)
Experience working in structured lab environments with high-density hardware deployments
Experience supporting macOS and/or iOS devices in a lab environment
Familiarity with device provisioning, deployment, and lifecycle management
Experience troubleshooting hardware, software, and infrastructure issues

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aipython

Platform: apple
Effort: medium

Benefits

Benefits detected in the listing.

Vision