Python Developer

Poland and Central-Eastern Europe; Polska; On-site; PLN 180,000 - 320,000; Full time

Job summary

Xebia is seeking a Python backend engineer to design, build, and maintain scalable services across distributed teams in an Agile environment. You will implement robust REST APIs, automate CI/CD pipelines, and ensure system reliability with monitoring and alerting.

The role emphasizes Docker-based deployments, SLO definitions, and leveraging AI-powered coding tools to improve productivity. EU work permit is required for this position.

Qualifications

• Proven Python backend development experience.
• Experience building REST APIs with FastAPI/Flask or similar.
• Hands-on with GitHub Actions for CI/CD, testing, automation, and deployment.
• Knowledge of Docker and containerized environments.
• Understanding of SLOs, monitoring, and reliability.
• Experience with AI-assisted coding tools to boost productivity.

Responsibilities

• Develop, test, and maintain backend applications in Python.
• Design and maintain RESTful APIs (FastAPI/Flask).
• Build and maintain CI/CD pipelines with GitHub Actions.
• Automate testing, quality checks, and deployment processes.
• Work with Docker containers and orchestrations.
• Define SLOs and implement monitoring and alerting strategies.
• Improve system reliability and incident response with distributed teams in Agile settings.

Skills

Python development

REST API development

GitHub Actions

Docker

CI/CD pipelines

SLOs monitoring

AI-assisted coding

Distributed teamwork

English proficiency

Tools

Git

GitHub

Job description

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).

Work from the European Union region and a work permit are required.

Nice to have:

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.