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MLOps Engineer

  • Remote
    • Wroclaw, Dolnośląskie, Poland
  • PLN 15,000 - PLN 26,000 per month
  • Data

Job description

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:

  • Managing Kubernetes cluster serving ML models, preparing deployments and monitoring,
  • Working with data ingestion and transformation,
  • Preparing data schemas and feature stores,
  • Implementing data platform components, responsible for data ingestion and data pipelines.

Job requirements

  • 3+ years of professional experience as Data Engineer or Software Engineer working with data,
  • 3+ years of professional experience as Data Engineer or DevOps Engineer working with data scientists,
  • able to think analytically and critically, and good at solving problems creatively,
  • understands projects from the business perspective on an advanced level,
  • experience in Kubernetes – working with deployment charts, operators, nodes, autoscaling etc.
  • experience in working with data-driven and event-driven applications, knowledge about Pub/Sub patterns and data pipeline orchestration,
  • experience in data engineering, including data warehouses, data lakes and building data models,
  • experience in cloud (preferably GCP, with BigQuery),
  • fluent English communication skills (B2+).
  • Work from the European Union region and a work permit are required.

Recruitment Process

CV review – HR Call – Interview – Client Interview - Decision

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