Python Developer

North America; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Xebia is a global AI-first, digital transformation, and engineering partner. We seek a backend-focused professional to develop, test, and maintain Python applications, design RESTful APIs, and own CI/CD pipelines with containerised deployments.

You will define SLOs and monitor systems while collaborating with distributed teams in an Agile setting. Ideal candidates bring strong Python experience, expertise in FastAPI/Flask, GitHub Actions, Docker, and a solid understanding of monitoring and

Qualifications

• Strong experience in Python application development.
• Hands-on 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.
• Experience using AI-powered assistants 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.

Responsibilities

• 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 SLOs and implementing monitoring and alerting strategies.
• Improving system reliability and supporting rapid incident response.
• Collaborating with distributed teams in an Agile environment.

Skills

Python

REST API

CI/CD

Git workflows

Docker

Monitoring

AI-assisted development

English proficiency

Tools

GitHub Actions

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.