WAL-G Jobs

3 WAL-G jobs currently listed

Browse 3 open positions that require WAL-G 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

  • 2 companies hiring
  • Mostly Senior roles
  • Often paired with PostgreSQL, Linux, Patroni, pgBackRest
  • Top locations: Amsterdam

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.

Nebius 1 week ago
Remote

Senior Software Engineer (Managed PostgreSQL)

Amsterdam, Netherlands +2 (Remote) - English

Go PostgreSQL Patroni Stolon pg_auto_failover +4
Percona 7 months ago Open for 218+ days
Remote

PostgreSQL Database Support Engineer - EMEA (Remote)

English

PostgreSQL Linux
Percona 7 months ago Open for 218+ days
Remote

Senior PostgreSQL Database Engineer - EMEA (Remote)

English (C1)

PostgreSQL pgvector repmgr barman pglogical +6

Frequently Asked Questions

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