Qubit’s platform consumes and enriches billions of events a day, and serves out millions of personalisations to some of the biggest properties on the Internet. Our platform provides the backbone on which all of Qubit’s rich SaaS products are built.

You will help us engineer and maintain a low-latency, high-throughput platform that is responsible for capturing, validating, enriching, storing, and serving billions of data points. This entails full-stack engineering from writing real-time processing applications to scaling up our distributed data storage solutions and from tuning JVMs to working with globally distributed infrastructure. Stable, deterministic, well-documented, fully-tested, scalable, and concurrent are some of the keywords that will apply to your code.

We are happy to embrace new technologies and tools that help us solve the hard problems intrinsic to a rapidly growing, disruptive technology such as ours. The current version of the platform leverages the following: Kafka, Hadoop, Storm, Spark, Dataflow, HBase, BigTable, BigQuery, Hive, Redshift, Redis, Java, Scala, Python, Go, Clojure, Avro, Protobuf, et al. We love open source and so should you. Oh, and we also get early access to technology before anyone else in the industry.

We provide a platform to enable engineers to solve their biggest problems. Building tools and services that support, run and monitor everything that Qubit deploys. We develop and maintain a ridiculously diverse range of services and platforms on a hybrid cloud infrastructure, with more on the horizon as our engineers bring us new requirements.

With data rates that grow exponentially, and engineers that won’t accept downtime, we work to ensure the integrity and security of our entire data pipeline, along with the myriad of services that interact with it. We operate closely (sometimes embedded) with other teams and work together to architect and build solutions.

The huge volumes of data we collect for our clients often benefit from an automated approach, so the Data Science team brings elements of machine learning and statistics to the whole Qubit product suite. Our research runs from the techniques behind A/B testing through recommendation engines, natural language processing and much more.

Data Scientists at Qubit have the opportunity to own their whole project, from designing algorithms all the way through to getting face-to-face feedback from clients on how they use your work. We use a range of technologies depending on what’s needed to get the job done. We spend a lot of our time buried in IPython notebooks, but we also write bits of Scala, R, Java and even some occasional C++.

We’ve complex problems to solve, and you’ll help us with this. You’ll be joining a growing UX & Product Design team working across the whole spectrum of the product development process - from understanding our customer’s requirements to prototyping fluid workflows and tweak pixels before launch.

You’ll need to utilise your full range of UX, interaction and visual design skills to create elegant product experiences to the incredibly high standards we expect. Insights and metrics analysis are fundamental elements and you love them as much as you love to play with Sketch and Marvel App, or pretty much any tool able to make your process faster and better.

We’re looking for the best Product Designers to help us build a world class platform, trusted by the leading eCommerce businesses, and delivering experiences impacting millions of customers across the globe.