Lab Engineer, Device Services Infrastructure
Confirmed on the employer's own hiring board on Oct 16, 2026. First seen by Alion on Jun 15, 2026. Apple scores B on the Alion truth index.
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