Python Developer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 4d ago
The date the source published, not the day we noticed it (2026-10-28). Last seen at its source 2h ago.
We have tracked this listing since 28 Oct 2026 (4 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Bulgaria, Poland, Romania
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $96.7k–206.9k/yr
Middle 50% of 112 listings that do state pay — Engineering · all levels · Eastern Europe · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Greenhouse employer's own board first seen 4d ago · last seen 2h ago
The listing
Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.
We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.
In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.
You will be:
- developing, testing, and maintaining backend applications using Python,
- designing, developing, and maintaining RESTful APIs,
- building and maintaining CI/CD pipelines and automation workflows using GitHub Actions,
- automating testing, code quality checks, and deployment processes,
- working with Docker and containerised application environments,
- defining Service Level Objectives (SLOs) and implementing monitoring and alerting strategies,
- improving system reliability and supporting rapid incident response,
- collaborating with distributed teams in an Agile environment.
Your profile:
- strong experience in Python application development,
- hands-on experience with REST API development using FastAPI, Flask, or similar frameworks,
- practical experience with GitHub Actions for CI/CD, testing, automation, and deployment,
- good understanding of Git, branching strategies, and collaborative development workflows,
- experience with Docker and containerised applications,
- understanding of SLOs, monitoring, alerting, and system reliability,
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
- strong communication skills and the ability to work independently in a distributed team,
- good command of English (min. B2).
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Work from the European Union region and a work permit are required.
Nice to have:
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Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
- Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.
Recruitment Process:
CV review – HR call – Technical Interview – Client Interview – Decision