Kustomize Jobs
10 Kustomize jobs currently listed
Browse 10 open positions that require Kustomize 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
- 10 companies hiring
- Mostly Mid roles
- Often paired with Kubernetes, AWS, Python, Helm
- Top locations: Berlin, Chemnitz, London
- 2 new in the last 7 days
Market insights
Cloudfactory GmbH is currently the most active employer hiring for Kustomize.
Seniority mix
- Mid 33%
- Senior 33%
- Staff 33%
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.
DevOps Consultant Kubernetes (m/w/d)
Munich, Germany - English
Staff Platform Engineer
English
Platform Engineer
San Francisco, United States (Remote) - English
DevOps Engineer (x/f/m)
Berlin, Germany - German (C1), English (C1)
Security Engineer, Product Security
Chemnitz, Germany - English
Staff Infrastructure Software Engineer (Kubernetes)
Germany (Remote) - English
Developer Experience Engineer (all genders)
Berlin, Germany - English (fluent)
Senior Infrastructure Engineer (AI-First)
London, United Kingdom - English
Frequently Asked Questions
- There are currently 10 open positions that list Kustomize 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 Kustomize 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.