• Competitive
  • Raleigh, NC, USA
  • Permanent, Full time
  • Credit Suisse -
  • 16 Jun 19

DevOps Engineer (Log Management/Splunk) # 121864

We Offer
Global Log Management (GLM) provides near-real-time log data and analytics services for the entirety of Credit Suisse at multi-petabyte scale. We are looking for an experienced engineer to help the GLM Engineering team deliver valuable service improvements and projects for partners.

We offer
  • Applying your intellect to solving a set of meaningful problems around system efficiency, complexity and data security.
  • You have the opportunity to work on real-time data systems at true "big data" scale.
  • Be part of an organization where you can make your mark, delivering technical change and service improvements.
  • Exposure to a diverse range of technologies and many cyber/operational data analytics use-cases.
  • You contribute in a dedicated global team, receptive to modern working practices (eg. DevOps/Site Reliability Engineering) and technologies (eg. public cloud, containers, APIs, open source).

Credit Suisse maintains a Working Flexibility Policy, subject to the terms as set forth in the Credit Suisse United States Employment Handbook.

You Offer
  • You have proven your ability to pick up and learn new technologies and topics quickly.
  • You have experience with delivering engineering and operational improvements in an Agile methodology (Scrum/Kanban).
  • You have extensive (2+ years) experience engineering and administering log data management technologies (Splunk mandatory, alternatives desirable eg. Fluentd, Kafka, RabbitMQ and databases).
  • You have software design, development and scripting skills (Mandatory: Bash/shell, Python. Desirable: Javascript, Java), and an understanding of CI/CD and test automation.
  • Do you have exposure to a diverse range of technology areas: APIs, Linux OS (RHEL), storage (DAS, SAN, Object), virtualization and containers (Kubernetes, Docker, RedHat OpenShift), Public Cloud (Microsoft Azure desirable), networking concepts and load balancing, infrastructure-as-code (Puppet, SCCM, Saltstack, Azure Templates)?
  • Do you have understanding of service monitoring concepts and techniques, KPIs?

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