Xebia
Technology
GCPPlatformEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“GCP Platform Engineer at Xebia. Skills: GCP Platform Engineering, Infrastructure as Code, CI/CD Pipelines, Cloud Automation. Design cloud platform solutions. Build cloud platform solutions”
Industry & Context.
Problem-solving skills
Work permit EU
What They're Looking For.
Must Have
Hands-on experience GCP, Solid expertise Terraform, Experience building CI/CD, Background infrastructure automation, Experience distributed systems, Experience cloud-native architecture, Ability work complex environments, Problem-solving skills, Ownership mindset, Good communication skills, Ability collaborate across teams, Experience platform engineering, Experience internal developer platforms, Exposure data platforms, Experience large-scale migrations, Experience transformation programs, Familiarity monitoring tools, Familiarity logging tools, Familiarity observability tools, Understanding security best practices, Practical experience AI assistants
Nice to Have
Experience self-service platforms, Experience developer enablement, Knowledge AI enablement, Knowledge advanced automation, Certifications GCP, Certifications Terraform, Experience international teams, Experience working distributed teams, Experience applying GenAI, Interest emerging AI-driven practices, Willingness explore experiment
What You'll Do.
Design cloud platform solutions
Build cloud platform solutions
Maintain cloud platform solutions
Develop Infrastructure as Code
Manage Infrastructure as Code
Build CI/CD pipelines
Enhance CI/CD pipelines
Drive infrastructure automation
Drive self-service capabilities
Support migration activities
Ensure platform observability
Ensure platform reliability
Ensure platform performance
Contribute cloud governance
Contribute security best practices
Contribute cost optimization
How You'll Work.
Team & Collaboration
Collaborating with data engineers; Collaborating with data architects; Collaborating with delivery management; Collaborate across teams
Communication Scope
Communication skills
Full Job Description
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, building, and maintaining cloud platform solutions using GCP, developing and managing Infrastructure as Code (Terraform) for scalable and reusable environments, building and enhancing CI/CD pipelines to support automated deployments, driving infrastructure automation and self-service capabilities for engineering teams, supporting migration activities across multiple streams ensuring reliability and scalability, collaborating closely with data engineers, data architects, and delivery management, ensuring platform observability, reliability, and performance, contributing to best practices in cloud governance, security, and cost optimization. Your profile: strong hands-on experience with Google Cloud Platform (GCP), solid expertise in Terraform (Infrastructure as Code), experience building and maintaining CI/CD pipelines, strong background in infrastructure automation, experience with distributed systems and cloud-native architecture, ability to work in complex, multi-stream enterprise envir
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