Senior Python Engineer | EU
Hello, let’s meet!
Who We Are
While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.
What We Do
We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.
We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!
Beyond Projects
What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.
What sets us apart?
Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.
You will be:
working as a Senior Python Engineer in a cross-functional team, with a strong focus on backend development in Python and a modern cloud-native ecosystem (Azure, Kubernetes, Docker),
owning code reviews for Python components delivered by other teams, ensuring high standards of quality, readability, security, and performance,
investigating production incidents by analysing logs and metrics, reproducing issues, identifying root causes, and recommending and implementing fixes,
designing and developing new backend features in Python, integrating with cloud services and container-orchestrated workloads running on Kubernetes,
profiling and optimising existing services for performance, including database access, caching strategy, and critical execution paths.
collaborating closely with other engineering teams (not only Python-focused) to define interfaces, integration patterns, and engineering best practices across the platform,
contributing to CI/CD pipelines, deployment automation, and observability (monitoring, alerting, logging) for Python services in the cloud environment,
gradually contributing to services built with Node.js and TypeScript, and expanding your skills in this ecosystem as part of day-to-day project work.