O pozici
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 McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, 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.
Co budeš dělat
- designing, developing, and maintaining shared Python libraries used across multiple teams and services,
- contributing to the development of a schema management toolchain supporting a large-scale distributed platform,
- improving platform reliability, maintainability, and developer experience,
- collaborating with engineering teams to define and implement reusable solutions and best practices,
- supporting observability and monitoring initiatives across distributed systems,
- contributing to CI/CD processes and software delivery automation.
Koho hledáme
- 4+ years of experience in Python development,
- experience designing and maintaining shared libraries, SDKs, or reusable components consumed by multiple teams,
- hands-on experience with GCP Pub/Sub,
- practical knowledge of distributed tracing and observability concepts, including OpenTelemetry (OTEL),
- experience working with GitHub Actions and CI/CD pipelines,
- understanding of distributed systems and event-driven architectures,
- ability to write clean, maintainable, and well-tested code,
- strong analytical and problem-solving skills,
- good communication skills in English (min. B2),
- practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.
Benefity
- Nice to have:
familiarity with application resilience patterns and progressive rollout strategies,
- experience working with Avro schemas and schema management solutions,
- 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.
