DevOps Engineer - Log Management #121147

  • Competitive
  • Zurich, Switzerland
  • Permanent, Full time
  • Credit Suisse AG
  • 09 Dec 18

DevOps Engineer - Log Management #121147

We Offer
Credit Suisse is a leading global wealth manager with strong investment banking and asset management capabilities. Founded in 1856, Credit Suisse has expanded to be a global force employing over 45,000 people in 50 countries. With new leadership, a new strategy and a streamlined global organization, we are set for growth. We partner across businesses, divisions and regions to create innovative solutions to meet the needs of our clients-and to help our employees grow. It is a high priority for us to continually invest in our employees by providing ongoing opportunities for training, networking and mobility. Join us and let's shape the future of Credit Suisse together.

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 Engineering Lead to work with the GLM Engineering team and Technical Product Owner to deliver valuable platform improvements and projects for partners.

We offer

  • Apply your intellect to solving a set of meaningful problems around system efficiency, complexity and information 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
  • Be part of a dedicated global engineering team, receptive to modern working practices (eg. DevOps/Site Reliability Engineering) and technologies (eg. public cloud, containers, open source)

You Offer
You offer

  • You bring at least 3 years of experience in engineering and administering Splunk log data management systems, alternatives desirable for example Fluentd, RabbitMQ, ElasticSearch/ELK, Apache Flume, Kafka, Hadoop, Solr
  • You have experience with delivering engineering and operational improvements in an Agile methodology like Scrum and Kanban
  • You possess software development and scripting skills like Bash/shell or Python and have a deep understanding of CI/CD and test automation
  • Exposure to the following infrastructure areas are desirable:
    • 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)
  • A proven ability to pick up and learn a wide range of new technologies and topics
  • A solid understanding of service monitoring concepts and techniques, creation and tracking of service KPIs

Mr. L. Anselment would be happy to receive your application.
Please apply via our Career Portal.

Credit Suisse is an equal opportunity employer. Welcoming diversity gives us a high-reaching advantage in the global marketplace and drives our success.