Cloud Engineer
Role details
Job location
Tech stack
Job description
other LLMs into business processes - Define deployment and operational patterns for agent-based solutions - Diagnose and resolve production issues ( latency, errors, cost ) - Collaborate closely with AI Engineers, Backend Engineers, and Tech Leads - Contribute to the evolution of the company's AI and cloud stack Qualifications - 1-3 years of experience in Cloud Engineer / AI / Backend roles - Hands-on experience with Google Cloud Platform (required) : - Compute Engine, GKE, Cloud Storage - VPC, Load Balancing, IAM - Cloud Monitoring & Logging - Strong experience with Python (primary language) - Understanding of cloud architecture concepts : - High availability - Scalability - Resilience - Experience working with APIs and backend services - Experience with CI/CD pipelines and tools like GitHub - Exposure to LLMs (Gemini, OpenAI, etc.) is a plus - Professional level of English Nice to Have - Experience with Terraform / Infrastructure as Code - Experience with
Requirements
agent systems or LLM workflows - Experience with Docker / Kubernetes - Knowledge of event-driven or microservices architectures - Google Associate Cloud Engineer Benefits - Flexible Benefits (Coverflex): Enjoy more than just work with flexible compensation including meal vouchers, health insurance, transportation, and more. - Growth Opportunities: You can advance in your career not only through the experience of working with major clients but also by accessing local and global training programs specialized according to your role, covering both technical and soft skills. - Free Online Training: You can access unlimited courses from LinkedIn Learning and Udemy Catalogs through our artificial intelligence platform "Marcel". - Partner Certifications: You'll have the opportunity to obtain certifications from industry giants such as Meta, Google, or Amazon. - Work from anywhere: Telecommute up to 6 weeks from over 100 countries with our #WorkYourWorld program. -