We’re looking for an ELK guru with a tonne of experience building custom connectors.
We require automation for Ingest pipelines / dashboard builds, for huge list of applications.
Dashboards should be designed to most intuitively show the most valuable insights.
Finished module will consist of: • Kibana JSON objects for index-pattern, visualizations and dashboards • Logstash pipeline configuration (or Elasticsearch ingest pipeline – but logstash is preferred) • Elasticsearch index template • Data source(s), one or more of:
- API connector in Python or Golang
- Custom beat implementation based on libbeat
- Logstash input plugin in Ruby
Artefacts should be amenable to centralised management/deployment with Ansible, whether through templated logstash/beats configuration or POSTing to the Kibana saved objects API. All work must be compatible with ELK 7.1.1-oss. Where existing code is leveraged, it should be BSD / Apache licensed or similar – GPL-type licenses are acceptable if necessary but must be isolated. Proprietary-licensed code must not be used, eg the Elastic license.
Responsibilities
Build connectors consisting of:
• Kibana JSON objects for index-pattern, visualizations and dashboards • Logstash pipeline configuration (or Elasticsearch ingest pipeline – but logstash is preferred) • Elasticsearch index template • Data source(s), one or more of:
- API connector in Python or Golang
- Custom beat implementation based on libbeat
- Logstash input plugin in Ruby
Requirements
Long list of previous experience in ELK and custom data source ingestion, enrichment, visualisation.
$100,000
