Logstash Jobs
9 Logstash jobs currently listed
Browse 9 open positions that require Logstash experience. Every listing includes the full tech stack, language requirements, remote policy, and salary data, so you can filter with confidence instead of guessing from job descriptions.
By the numbers
- 7 companies hiring
- Mostly Mid roles
- Often paired with Kubernetes, Elasticsearch, Python, Docker
- Top locations: Berlin, Graz, London
Market insights
Elastic is currently the most active employer hiring for Logstash.
Seniority mix
- Mid 50%
- Senior 38%
- Lead 13%
Top hiring companies
What you'll find here
Each job includes structured data from the original posting. You can see exactly which technologies are required vs. nice-to-have, whether the role is remote-friendly, and what salary range to expect, all without reading through pages of job descriptions.
Tech Lead, Agent Framework - Observability
Ireland (Remote) - English
Senior Site Reliability Engineer - Observability (x/f/m)
Berlin, Germany - English
Customer Architect - EMEA Central
Germany - German (fluent), English
€87.500–138.500 /yearSoftware Engineer - Backend
Berlin, Germany +6 - English
Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch
Remote (18 countries) - English
Senior Site Reliability Engineer - Observability (x/f/m)
Berlin, Germany - English
Site Reliability Engineer
London, United Kingdom - English
Frequently Asked Questions
- There are currently 9 open positions that list Logstash as a required skill. This number updates daily as new jobs are posted.
- We analyze every job description to identify the specific technologies mentioned. We distinguish between technologies that are required, nice-to-have, or explicitly not used, so you get an accurate picture of each role's tech stack.
- Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Logstash jobs that don't use a particular framework or language.
- When a company includes salary in their job posting, we use that directly. Otherwise, we parse salary information from the job description. Each salary figure gets a confidence score. High-confidence data is shown prominently, while less certain figures are clearly marked.