Seeq makes data analytics software for a big market that’s often overlooked by tech companies: industrial process data. Think pharmaceutical manufacturers, wind farms, and energy companies with tons of equipment and sensors. Our software engineers tackle hard problems in streaming calculation, storage and distributed computing, and we create elegant HTML5 data visualizations with smooth interactivity.
Our company is 100% remote and proud of it. You can work anywhere in the U.S. or Canada. We use a variety of collaboration tools, like Zoom, Slack, and our homegrown Qube Virtual Office, which makes us feel like we're in the same building together. We use agile tenets to iterate on both our product and development processes. We have a wonderful team of kind-hearted, talented engineers that love to collaborate, teach each other new tricks, and build products that exceed our customers’ expectations.
Our technology stack is largely JVM languages (Java, Kotlin) with some C#/.NET on the backend, and TypeScript / React on the frontend. The core of our product is a full-featured calculation engine that can perform complex math and execute machine learning algorithms on streaming time series data. The Seeq platform is enhanced by Python libraries and Jupyter notebooks to enable extensibility and data science workflows. Seeq SaaS (software-as-a-service) runs this functionality on a cloud-native infrastructure layer built in Kubernetes.
