AI/ML Platform Cloud Infrastructure Engineer

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. 

 

You will be:

 

 

• designing and maintaining scalable cloud infrastructure on GCP using Terraform and IaC best practices,

• managing multi-project GCP environments with a focus on security, governance, and cost control,

• building and operating self-hosted CI/CD runner infrastructure with autoscaling capabilities,

• architecting and managing advanced GCP networking solutions including hybrid connectivity,

• provisioning and operating GPU-enabled infrastructure to support AI/ML workloads,

• working autonomously with end-to-end ownership of delivered solutions.

 

 

 

 

Your profile:

 

• deep expertise in Terraform (HCL) for large-scale, multi-project environments (mandatory),

• experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,

• strong hands-on experience with GCP, particularly in multi-project setups,

• proven experience designing and operating self-hosted CI/CD runner platforms,

• proven experience with GPU-enabled infrastructure for AI/ML workloads,

• advanced knowledge of cloud networking and hybrid connectivity on GCP,

• experience integrating infrastructure tooling into automated CI/CD pipelines,

• security-first mindset applied across all design and implementation decisions,

• strong planning, prioritisation, and stakeholder communication skills,

• English at least B2 level.

 

 

 

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.

 

 

Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision