Lab Engineer, Device Services Infrastructure
About The Position
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
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
