Ubuntu Landscape Jobs

2 Ubuntu Landscape jobs currently listed

Browse 2 open positions that require Ubuntu Landscape 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

  • Mostly Mid roles
  • Often paired with Windows, Git, Jenkins, Linux
  • Top locations: Amsterdam, London

Market insights

Mavensecuritiesholdingltd is currently the most active employer hiring for Ubuntu Landscape.

Seniority mix

  • Mid 50%
  • Senior 50%

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.

Mavensecuritiesholdingltd 1 month ago
On-site

End User Support Engineer

London, United Kingdom - English

Windows Linux Ubuntu Ubuntu Landscape Active Directory +6
Mavensecuritiesholdingltd 2 months ago
On-site

Senior End User Support Engineer (229)

Amsterdam, Netherlands - English

Windows Linux Ubuntu Ubuntu Landscape Active Directory +7

Frequently Asked Questions

How many Ubuntu Landscape jobs are available right now?
There are currently 2 open positions that list Ubuntu Landscape as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires Ubuntu Landscape?
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.
Can I filter out jobs that use certain technologies?
Yes. Jobdex supports negative filtering, which lets you exclude specific technologies from your search. For example, you can find Ubuntu Landscape jobs that don't use a particular framework or language.
Are salary ranges accurate?
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.