DevOps Engineer

Sporting Solutions is looking for DevOp engineers to join several of our Trading Services delivery teams. We are the world leading sports spread betting and quantitative pricing company. Last summer we set up a new department – Trading Services – which is focussed on improving our real time pricing and sports trading capability.

Trading Services consist of several delivery teams that are responsible for designing and building out a variety of new cloud based platforms. These include our new quantitative sports pricing grid, our real time global data feeds team and our machine learning analytics platform.

Each team is completely self contained (product, developers, devops) and operates using a continuous deployment approach. We aim for each team (developers AND devops) to be able to roll changes to the production system several times a day without taking the system down. We run on top of a pure cloud infrastructure and all aspects of every deployment is automated. We have the ability to deploy to multiple cloud providers.

Your role will be to work in the delivery teams, automating every aspect of the infrastructure, ensure that server builds are suitably patched and deployed, check that the appropriate infrastructure security is in place and to run and maintain our cloud based monitoring and alerting systems.

We are looking for people who are:
• Creative and productive yet with the discipline to work in an automated, continuous deployment environment.
• Willing to learn, try new approaches and engage with a team (techies and traders) who will challenge your skills and expect direct feedback on what is or isn’t possible within a time frame.
• Have strong sys-admin experience with both Windows and Linux operating systems.
• Experience dealing with RabbitMQ, Hadoop and MongoDB.
• Experience with .net platforms.
• Experienced with a variety of cloud hosting providers and understand how operating on a pure cloud infrastructure differs from a standard enterprise data centre.
• Passionate about automation, monitoring and alerting.
• Biased to action. The team is small and everyone rolls code to production several times a day. We actively encourage the short feedback loops this gives us but we need to make sure that our code is fully tested on every deployment. Are you comfortable with this approach?

We have started small but we want to expand. If you really want to contribute to a team which is leading the way in Cloud based design and real-time Sports modelling we want you to come and work with us. If you are interested in doing a job that will give you autonomy and freedom and are willing to step up to take on the responsibility as well then send us your CV – we look forward to hearing from you.