Lab Engineer, Device Services Infrastructure

Summary

We are looking for a motivated and service-oriented individual who loves working on infrastructure. You must enjoy working on multiple concurrent projects in a fast-paced environment that fosters growth, teamwork, and innovation. This role will also help drive operational excellence through automation, telemetry, and data-driven workflows that improve device readiness, lab efficiency, and customer experience. The ideal candidate will contribute to the adoption of AI-assisted operational processes and automated workflows that reduce manual effort, improve decision-making, and support the organization's transition toward more intelligent and scalable lab operations.

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

Minimum Qualifications

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 using AI-assisted development tools to accelerate engineering workflows, including scripting, automation, debugging, or technical problem solving.

Ability to evaluate and validate AI-generated solutions, applying engineering judgment to ensure technical accuracy, reliability, and maintainability.

Preferred Qualifications

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