Logstash Jobs
10 Logstash jobs currently listed
Browse 10 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 Senior roles
- Often paired with Python, Kubernetes, Go, Elasticsearch
- Top locations: Berlin, Amsterdam, London
- 1 new in the last 7 days
Market insights
Elastic is currently the most active employer hiring for Logstash.
Seniority mix
- Senior 56%
- Mid 33%
- Lead 11%
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.
Forward Deployed Engineer, Benelux
Amsterdam, Netherlands - English, Dutch
Consulting Architect - Security (EMEA / Public Sector eligible )
Germany - English, German
Tech Lead, Agent Framework - Observability
Ireland - English
Senior DevOps Engineer (Azure)
London, United Kingdom - English
Senior Site Reliability Engineer - Observability (x/f/m)
Berlin, Germany - English
Software Engineer - Backend
Berlin, Germany +6 - English
Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch
Remote (18 countries) - English
Frequently Asked Questions
- There are currently 10 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.