Splunk Linux Engineer

Information Technology London, United Kingdom


Description



G-Research is a leading quantitative research and technology company. We use scientific techniques, big data and world-class technology to predict future movements in financial markets, and we develop the platform to deploy these ideas globally across multiple asset classes. We offer a dynamic, flexible and highly stimulating environment where good ideas are prized and rewarded.

We are looking for a Splunk Linux Engineer to join our growing Linux Platform Engineering team. You will be coming on board at a critical time to help drive the expansion of big data technologies and grow their reach within G-Research.

This is a great opportunity to really help shape the infrastructure of a leading FinTech firm, drive the adoption of big data technologies, build systems of high quality, with a focus on scalability, resiliency, security and automation.

The role will centre on looking after our Splunk infrastructure, from improving the infrastructure to implementing new Splunk apps, onboarding new data sets, and providing expert advice to other teams on how to make the best use of Splunk. The team also looks after other technologies such as the Hadoop ecosystem, and you will be expected to get some working knowledge of these technologies. 

The Individual

The right person for the role will have the following:

  • Experience in designing, running and troubleshooting Splunk infrastructures
  • Scripting (e.g. Bash, Python, Perl)
  • Automation via the use of configuration management (such as Puppet or Chef) and orchestration tools (such as Ansible)
  • Good understanding of Linux OS core principles, performance and tuning
The following would be advantageous but not necessary:

  • Database administration and querying (SQL)
  • Hadoop
  • Solid knowledge of basic network protocols (e.g. IP, UDP, TCP), OS network stacks.
  • Cluster managers (e.g. Docker, Apache Mesos, Kubernetes)

Candidates should first and foremost be great at what they know and do, and be willing to learn the technologies and aspects they may not have been exposed to in the past.  They should have a track record of delivering high quality work, complete, tested and documented.