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iPronics is scaling photonic and semiconductor products in a fast-moving AI infrastructure realm. We are seeking a Data Engineer to design and optimize data flow from multiple internal and external sources within iPronics Cloud environment, ensuring reliable data processing.
The role focuses on cloud deployments (AWS, Terraform), data integration middleware, and robust monitoring with Prometheus and Grafana. You will collaborate across teams to build scalable data pipelines and dashboards.
The recent acceleration of AI and ML is driving advancements and disruption in the Intra Datacenter Networking. The iPronics technology offers an unique solution to the AI/ML needs and is riding this exciting wave. iPronics is developing and launching their Optical Network Engine to meet this need for full optical bandwidth switching in advanced data center architectures. Our product offering is a full technology stack from Silicon Photonics to API layers delivered as a turn-key rack mounted form factor seamlessly integrating into a data center chassis.
iPronics recently secured $125m of funding allowing us to continue to spearhead the Datacenter Optical Networking market with our disrupting Optical Networking Engine. We are successfully pushing the Photonics technology limits into production with the strong support of our Tier 1 supply chain.
We’re scaling photonic and semiconductor products from NPI to volume. Your mission as Data Engineer is to design and optimize data flow from the different internal and external sources in iPronic's Cloud environment.
Develop, test and deploy cloud infrastructure for data processing in AWS (Terraform).
Participate in the creation and management of iPronic's Middleware for data integration with internal and external sources. Define and ensure best practices and security measures in data management..
Design and maintain monitoring tools for data processing and data source management, with tools such as Prometheus and Grafana.