Cloud Platform Support Engineer

For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI driven digital transformation. Since 2001, we have grown into a full service digital consulting company with 5500+ professionals working on a worldwide ambition. Driven by the desire to make a difference, we keep innovating. Fuelling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high quality way of working that inspires all we do.

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, Dataproc, Dataflow, Cloud Run, and GCS.
• 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 like Microsoft Identity Manager and Colibra.
• Collaborate with cross-functional teams to ensure successful issue resolution for our clients.

Requirements : Basics :

• 3+ years of support experience with GCP with emphasis on troubleshooting.
• 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, GitHub Actions, and PySpark.
• 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 complex technical issues from identification to resolution.
• Self-motivated learner with the ability to quickly adapt to new technologies.

Recommended :

• Professional Data Engineer Certification.
• 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 and under pressure.
• Strong collaboration skills and ability to work with minimal supervision at client sites.