- High familiarity with Elastic Stack Components – Elasticsearch, Logstash, Kibana, Beats
- Familiarity with Linux (Redhat, CentOS) system administration (on premise)
- Familiarity with security mechanism like Kerberos, AD LDAP, SSL/TSL, SSO
- Familiarity with DevOps revision control tools like Bitbucket, Git, SVN
- Working knowledge of programming (coding skills) in Pyton with IDEs like PyCharme and Unix shell
- Have a passion for automation using Python and/or Javascript
- Familiarity with open source deployment tools such as Ansible (Puppet) and Shell scripting and Jenkins
- Familiarity with Monitoring Tools like Zabbix
- Working knowledge of OpenShift Container Platform
- Very strong Troubleshooting skills and solid understanding of system’s capacity and bottlenecks
- Ability to communicate in German and English
- Knowledge of Confluence and Jira
- Analytical skills
- Solid experience in Hadoop (Cloudera) system configuration and setup with its utilities and tool sets.
- Familiarity with HDFS, YARN, HBase, Hive, Spark, Impala, Kafka etc.
- Preferred knowledge in NoSQL databases like MongoDB (Percona Stack incl. monitoring and backup tools)
Ihre Aufgaben
- Must have worked in ELK implementation project and Logstash data parsing rules. (Grok, Ruby knowledge highly recommended)
- Expertise in log monitoring standards according to Elastic Common Schema
- Familiarity in designing, implementing, and configuring Kibana visualizations as required by the business.
- Familiarity in Configuring Logstash, FileBeats, MetricsBeats and possibly other ELK Stack components to collect and store the data necessary to meet business requirements.
Kontakt
Cegeka Deutschland GmbH
Peter Gumber
Putzbrunner Str. 71
81739 München
Tel. +49 89 74 833 962
Fax +49 89 74 833 920
peter.gumber@cegeka.de
