LI-COR manufactures precision environmental sensors and is building a global cloud-based IoT platform to centralize monitoring data. The tech stack — Kubernetes, Docker, Terraform, AWS, plus Azure infrastructure — combined with active ISO 9001/17025 QMS implementation and cybersecurity initiatives, reflects a company scaling both hardware quality and cloud operations. Hiring velocity is accelerating across manufacturing, engineering, and logistics, with simultaneous infrastructure buildout in the US and China signaling geographic expansion.
LI-COR designs and manufactures high-precision field instruments for measuring gases, plant physiology, water, and climate conditions, serving research and industrial customers in agriculture, environmental science, and climate studies. The company operates across three pillars: hardware (sensors and instruments), software (data collection and analysis platforms), and services (field deployment and technical support). Current work centers on a global cloud-based IoT platform for environmental data management, quality system certification (ISO 9001/17025), and dual cloud operations spanning US and China. The organization is mid-sized at 201–500 employees and headquartered in Lincoln, Nebraska.
LI-COR uses Azure (AD, Entra ID, SharePoint Online), AWS, Kubernetes, Docker, Terraform, Python, MySQL, Salesforce, Outreach, Grafana, Prometheus, and Jenkins. Infrastructure spans on-premises (Active Directory, VMware) and public cloud (AWS, Azure, Alibaba Cloud).
LI-COR is building a global cloud-based IoT platform for environmental data management, implementing ISO 9001/17025 quality management systems, rolling out cybersecurity initiatives, and expanding cloud operations in China. Infrastructure improvements and hardware refreshes are also underway.
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LI-COR's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.