SR Cloud Engineer (GCP & AI)

Description

Job Summary: Design, build, and operate a secure, scalable, and cost-effective GCP cloud infrastructure supporting AI workloads. Key Highlights: 1. Design and operation of secure and scalable GCP cloud infrastructure. 2. Specialized support and optimization of AI workloads. 3. Core GCP infrastructure management, IaC automation, and database administration. **Job Mission** You will be responsible for designing, building, and operating a secure, scalable, and cost\-effective GCP (Google Cloud Platform) cloud infrastructure, serving as the company's technological foundation. This role is primarily accountable for computing, networking, and storage services. Additionally, you will provide specialized support and the necessary infrastructure to enable and optimize Artificial Intelligence workloads, ensuring data science teams can deploy and operate their models on a robust and well-managed platform. **What responsibilities and tasks will you handle?** * Core GCP Infrastructure Management (Compute and Networking): Administer, secure, and optimize Compute Engine, Google Kubernetes Engine (GKE), VPC networks, firewalls, and IAM policies. * Infrastructure as Code (IaC) Automation: Use Terraform as the primary tool for versioned deployment and management of all cloud infrastructure, ensuring consistency and repeatability. * Storage and Database Administration: Manage storage solutions such as Cloud Storage and relational databases (Cloud SQL), ensuring performance, backup, and security. * AI Platform Enablement: Deploy and manage infrastructure required for AI solutions, including Vertex AI environment configuration and BigQuery dataset management. * AI Workload Support: Collaborate with data teams to resolve performance, connectivity, and permission issues related to model training and inference on the GCP platform. **Requirements** * University degree or bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related fields. * Experience: At least 5 years of experience in GCP cloud system administration, including at least 1\-2 years of hands-on experience supporting AI platforms and workloads (Vertex AI, BigQuery). * Certification combination is highly desirable. Primary: Google Professional Cloud Architect or Professional Cloud DevOps Engineer. Complementary: Google Professional Machine Learning Engineer. **What competencies would we like you to have?** * Ability to effectively identify, analyze, and resolve complex technical problems. * Skill to evaluate information, analyze complex situations, and make informed decisions. * Attention to detail to ensure accuracy in system configuration and administration. * Aptitude to collaborate and work effectively within multidisciplinary teams. * Ability to communicate technical information clearly and concisely to diverse audiences. * Capacity to organize and prioritize tasks efficiently in a dynamic environment. **What do we offer?** * Permanent contract. * Compensation comprising fixed and variable components. * Office hours with flexible start and end times. * Hybrid work arrangement. * Flexible Compensation Plan with Cobee.