Lab Engineer, Device Services Infrastructure

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.

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