About Us
Founded in 2011, Fulgent has evolved into a premier, full-service genomic testing company built around a foundational technology platform.
Through our diverse testing menu, Fulgent is focused on transforming patient care in oncology, anatomic pathology, infectious and rare diseases, and reproductive health. We believe that by providing a wide range of effective, flexible testing options in conjunction with best-in-class service and support, we can redefine the way medicine is managed for patients and clinicians alike.
Since integrating with our therapeutic development business, Fulgent is also developing drug candidates for treating a broad range of cancers using a novel nanoencapsulation and targeted therapy platform. By merging our fields of expertise, we aim to become a fully integrated precision medicine company.
Summary of Position
We are seeking a versatile Software Engineer with expertise in Azure Logic Apps, Azure Function Apps, NodeJS, and CI/CD (Azure DevOps + GIT) to build, maintain, and monitor on-prem, and cloud-native software. The ideal candidate has strong Azure Service Bus / Queues, storage, and system documentation experience, with a working knowledge of C#, AI/ML, and multi-cloud environments (limited AWS and GCP exposure). This role involves limited production support, designing integrations, automation, orchestrations, monitoring/alerting systems, and collaborating with cross-functional teams on scalable solutions.
Key Job Elements
- Develop & maintain Azure Logic Apps, Function Apps, and NodeJS services (limited C# as needed).
- Manage CI/CD pipelines using Azure DevOps and GIT; ensure reliable deployment workflows.
- Work with Azure Service Bus, Storage, Queues, and SQL for integration and data operations.
- Liquid and XSL transformations.
- Text Transformation (mostly HL7).
- Configure monitoring, logging, and alerting in Azure (App Insights, Monitor, Log Analytics).
- Support production Logic Apps on a limited basis and assist with troubleshooting.
- Workflow connection technologies (HTTP, SFTP, messaging queues) for secure data flows. Including but not limited to secure OAuth2 and API Management technologies.
- Create and maintain technical documentation and configuration guides.
- Limited AWS/GCP work (e.g., S3, Lambda, Cloud Functions) as needed for hybrid-cloud integrations.
- Exposure to AI/ML tools (e.g., Azure Cognitive Services, ML pipelines, Copilot).