Hello, let’s meet!

We are Xebia - a place where experts grow. For nearly two decades now, we've been developing digital solutions for clients from many industries and places across the globe. Among the brands we’ve worked with are UPS, McLaren, Aviva, Deloitte, and many, many more.

We're passionate about Cloud-based solutions. So much so, that we have a partnership with three of the largest Cloud providers in the business – Amazon Web Services (AWS), Microsoft Azure & Google Cloud Platform (GCP). We even became the first AWS Premier Consulting Partner in Poland.

Formerly we were known as PGS Software. In 2021, we joined Xebia Group – a family of interlinked companies driven by the desire to make a difference in the world of technology.

Xebia stands for innovation, talented team members, and technological excellence. Xebia means worldwide recognition, and thought leadership. This regularly provides us with the opportunity to work on global, innovative projects.

Our mission can be captured in one word: Authority. We want to be recognized as the authority in our field of expertise.

What makes us stand out? It's the little details, like our attitude, dedication to knowledge, and the belief in people's potential - emphasizing every team members development. Obviously, these things are not easy to present on paper – so make sure to visit us to see it with your own eyes!

Now, we've talked a lot about ourselves – but we'd love to hear more about you.

Send us your resume to start the conversation and join the #Xebia.

You will be:

• acting as the first embedded engineering consultant within client teams,
• leading technical discovery and shaping solution approaches and delivery models,
• translating ambiguous business requirements into clear technical options with trade-offs,
• designing reference architectures for ai/ml use cases including data ingestion, model lifecycle, ci/cd, observability, and security,
• contributing hands-on to proofs of concept, pipelines, infrastructure as code, and release automation,
• supporting initiatives around ai productization, aiops/devops, and integration layers (api, bff, frontend),
• defining team structure, skill mix, and onboarding approach for scaling delivery,
• creating architecture documentation, runbooks, and onboarding materials,
• communicating technical decisions in a clear, business-oriented way to stakeholders and leadership,
• collaborating with delivery management on planning, dependencies, and risk management.

Your profile:

• 8–10+ years of experience in software engineering, data engineering, or ML/AI engineering,
• 3+ years of experience in solution architecture or design authority roles,
• proven experience in at least two areas: AI/ML, data engineering, DevOps/platform, or productization,
• strong consulting skills including discovery, problem framing, and executive-level communication,
• hands-on experience with cloud platforms (Azure, AWS, or GCP) and infrastructure automation,
• ability to work with ambiguity and turn it into structured, pragmatic plans,
• experience designing scalable and production-ready systems,
• willingness to travel regularly for workshops and stakeholder alignment,
• high ownership and strong collaboration mindset.
• must be fluent in English (at least at a C1 level), knowledge of Polish is a plus.

Recruitment Process

CV review – HR call – Interview – Interview II – (Interview III)* – Decision

*if needed