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About Xebia With 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 About the Role As a Cloud Platform Support Engineer at Xebia, you will join our dynamic Engineering team to support our clients' data and compute infrastructure on GCP. This role is perfect for a technical expert who combines Google Cloud knowledge with hands-on troubleshooting experience, thriving in environments where adaptability and technical excellence are essential. Responsibilities: Troubleshoot and resolve complex issues related to clients' Data Platform components, including BigQuery, Workflows, Batch. Support compute infrastructure needs for client users, including containerization, environment setup, and dependency management. Diagnose and resolve issues. Configure and optimize batch processing environments tailored to specific client workload demands. Automate environment setup and management through Infrastructure as Code (IaC). Assist client users with integration issues between platforms and enterprise tools Collaborate with cross-functional teams to ensure successful issue resolution for our clients. Requirements: Basics: 1+ years of support experience with GCP Customer support focused mindset Strong understanding of Google services, including BigQuery, Workflows, Batch, Dataproc, Dataflow, Cloud Run, GCS, monitoring, logging, VPC concepts, and networking. Proficiency in interpreting code written in Python, R, and Java. Experience with containerization technologies (Docker). Hands-on experience with automation tools like Git and GitHub Actions Familiarity with GCP Console and command-line tools. Strong analytical and problem-solving abilities. Excellent communication skills and ability to respond effectively to client users' queries. Experience taking ownership of technical issues from identification to resolution. Self-motivated learner with the ability to quickly adapt to new technologies. Nice to have: Experience with 3rd party tools commonly used in data platforms like Colibra. Understanding of Microsoft Identity Manager (MIM) for permission-related troubleshooting. Experience with automation of environment setup through Infrastructure as Code (IaC). Ability to work in a fast-paced consulting environment Strong collaboration skills and ability to work with minimal supervision
