AIOps Jobs

3 AIOps jobs currently listed

Browse 3 open positions that require AIOps 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

  • 3 companies hiring
  • Mostly Senior roles
  • Often paired with AWS, Azure, Docker, GCP
  • Top locations: London, Munich

Market insights

HelloKindred is currently the most active employer hiring for AIOps.

Seniority mix

  • Senior 50%
  • Lead 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.

Zooplus 1 week ago
Hybrid

Engineering Director - Ecommerce (All Genders)

Munich, Germany - English

HelloKindred 3 weeks ago
Hybrid

SaaS Monitoring Engineer

London, United Kingdom - English

AWS Azure GCP Docker Kubernetes
Rapdev 27 months ago Open for 825+ days

Senior ServiceNow Engineer, UK

United Kingdom - English

ServiceNow JavaScript
£120.000–150.000 /year

Frequently Asked Questions

How many AIOps jobs are available right now?
There are currently 3 open positions that list AIOps as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires AIOps?
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 AIOps 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.