Karpenter Jobs
6 Karpenter jobs currently listed
Browse 6 open positions that require Karpenter 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
- 6 companies hiring
- Mostly Senior roles
- Often paired with Kubernetes, Go, AWS, Python
- Top locations: London, Amsterdam, Best
Market insights
0g is currently the most active employer hiring for Karpenter.
Seniority mix
- Senior 67%
- Lead 17%
- Staff 17%
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.
Supabase 1 week ago
Remote
Container Engineer
Remote (Worldwide) - English
Kubernetes Go AWS containerd eBPF +4
0g 1 week ago Reposted 1 time(s)
Remote
Senior DevOps Engineer
Remote (Worldwide) - English
Kubernetes Terraform Pulumi Jenkins Docker +14
Hcompany 3 weeks ago
Hybrid
Infrastructure Engineer (ML Systems) - London
London, United Kingdom - English
Kubernetes Python Linux
Nebius 2 months ago
On-site
Senior/Tech Lead Backend Engineer (Managed Kubernetes)
Amsterdam, Netherlands +2 - English
Go Kubernetes
Frequently Asked Questions
- There are currently 6 open positions that list Karpenter 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 Karpenter 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.