KiFederate IDP Jobs

2 KiFederate IDP jobs currently listed

Browse 2 open positions that require KiFederate IDP 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 Staff roles
  • Often paired with Go, LDAP, OAuth 2.1, OIDC

Market insights

Grafana Labs is currently the most active employer hiring for KiFederate IDP.

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.

Grafana Labs 1 month ago
Remote

Staff Software Engineer – Identity and Access, Identity Squads | UK | Remote

United Kingdom (Remote) - English

Go OAuth 2.1 OIDC SAML LDAP +1
£100.000–124.000 /year
Grafana Labs 1 month ago
Remote

Staff Software Engineer – Identity and Access, Identity Squads | Ireland | Remote

Ireland (Remote) - English

Go OAuth 2.1 OIDC SAML LDAP +1
€117.000–147.000 /year

Frequently Asked Questions

How many KiFederate IDP jobs are available right now?
There are currently 2 open positions that list KiFederate IDP as a required skill. This number updates daily as new jobs are posted.
How do you know a job requires KiFederate IDP?
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 KiFederate IDP 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.