About XebiaWith over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Since 2001, we have grown from a Java company into a full-service digital consulting company with 5,500+ professionals working on a worldwide ambition.We are organized in complementary service lines – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Functional Programming, Intelligent Automation, and Microsoft.We help the world's top 250+ companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services.For more details, please visit www.Xebia.ComAbout the roleWe are looking for an experienced Lead Platform Engineer to take technical ownership of cloud-native platforms that support data, AI, and application workloads. This is a highly senior, hands-on leadership role where you will define platform standards, drive architectural decisions, and guide teams in building reliable, scalable, and secure infrastructure.You will act as a technical reference for platform engineering practices, working closely with engineering, data, and product teams to ensure the platform enables fast, safe, and efficient delivery across the organization.Key Responsibilities- Take end-to-end ownership of the platform architecture and its evolution on Google Cloud Platform (GCP).- Lead the design, implementation, and operation of shared platform services supporting multiple engineering teams.- Define and enforce platform standards, best practices, and guardrails.- Drive automation initiatives using Python to improve reliability, scalability, and developer experience.- Design and manage Infrastructure as Code using Terraform as the single source of truth.- Lead the design and operation of container platforms using Docker and Kubernetes.- Own and evolve CI/CD workflows using GitHub Actions and Azure DevOps (ADO).- Provide technical leadership and mentorship to platform and cloud engineers.- Partner with stakeholders to translate business and product requirements into platform capabilities.- Ensure platform observability, stability, and performance through proactive monitoring and continuous improvement.- Lead incident response and root cause analysis for platform-related issues.- Drive continuous improvement by staying up to date with platform engineering and cloud-native best practices.Required Skills and Experience- Extensive hands-on experience with Python for platform automation and tooling.- Proven experience leading CI/CD strategies using GitHub Actions.- Strong expertise in Terraform for managing cloud infrastructure at scale.- Solid experience working with Google Cloud Platform (GCP), including BigQuery, Cloud Run, and Vertex AI.- Strong practical knowledge of Kubernetes and Docker in production environments.- Experience using Azure DevOps (ADO) in complex engineering environments.- Demonstrated ability to lead technical initiatives and influence engineering teams.- Strong architectural thinking and decision-making skills.- Excellent problem-solving capabilities in complex, distributed systems.- Strong communication skills and experience working with cross-functional stakeholders.- Experience working in agile and DevOps-driven environments.- Ability to communicate fluently in English.Preferred Qualifications- Experience acting as a technical lead or platform owner in complex environments.- Background in building internal platforms used by multiple teams.- Experience supporting data and AI workloads in production environments.