Senior Elastic Specialist

We are now looking for a Senior Elastic Specialist on the behalf of our client, Tetra Pak.

As an Elastic Stack observability specialist, you will support Tetra Pak’s digital journey by contributing to the implementation of a standardized observability stack.

The role is focused on:

  • Designing a stack that spans over air gapped environments.
  • Analyzing current observability data and its usability in KQL
  • Define improvements for data consistency and query performance
  • Improving data structure and tagging
  • Implement alerts, detection strategies and visualizations
  • Explore storage type alternatives - hot vs cold storage
  • Define retention policies by data type and usage
  • Implement head/tail sampling strategies
  • Provide documentation and knowledge transfer

We believe you have:

  • Deep expertise in the Elastic Stack (Elasticsearch, Logstash, Kibana, Elastic APM, OTEL)
  • Experience with Elastic Fleet management
  • Strong experience in observability engineering, focusing on logs, metrics, and traces correlation
  • Advanced expertise in KQL (Kibana Query Language)
  • Strong experience in designing detection logic and dashboards using KQL
  • Experience in Logstash pipeline design, transformation, and routing
  • Experience with alerting strategies and anomaly detection within Elastic
  • Knowledge of data modeling, tagging strategies, and schema design using Elastic Common Schema (ECS)
  • Experience in storage tier strategies
  • Experience integrating Elastic with external systems e.g. Splunk
  • Strong analytical and problem-solving skills
  • Experience collaborating with cross-functional teams
  • Strong communication and documentation skills
  • Fluency in English

  • Start: ASAP

    End date: 2027-03-13

    Workplace: Lund, Sweden

    Workload: 40h/week

    BYOD/CAD: BYOD

  • On-boarding info: A drug test needs to be performed before assignment starts.

  • We will present candidates on an ongoing basis for this assignment, so do not hesitate to apply

  • Locations: Lund
  • Technologies: Elasticsearch
  • Language: English