Pydantic Jobs
13 Pydantic jobs currently listed
Browse 13 open positions that require Pydantic 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.
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.
Senior Software Engineer - Elasticsearch
London, United Kingdom - English
Senior Software Engineer - Python and Data Ecosystem
Germany (Remote) - English
Back-End Engineer - Team Agents
Berlin, Germany - English (Fluent)
Backend Developer (m/w/d)
Berlin, Germany - English
Full Stack Desk Developer (Python/React)
London, United Kingdom - English
Senior Backend Engineer
London, United Kingdom - English
Machine Learning Engineer (AI Core Team)
Amsterdam, Netherlands - English
AI/ML Developer (RAG & AI Agents)
Hamburg, Germany - English
Full Stack Engineer
London, United Kingdom - English
Senior Full Stack AI Engineer (Rapid Prototyping & Analytics )
English
Senior Full Stack AI Engineer (Natural Language Systems)
English
Software Engineer (Python Backend)
London, United Kingdom - English
AI Engineer
English
Frequently Asked Questions
- There are currently 13 open positions that list Pydantic 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 Pydantic 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.