We are looking for a Cloud Engineer with strong experience in Google Cloud Platform to design, deploy, and operate scalable, production-grade cloud services.
You will work in modern cloud environments, building backend services and infrastructure that support a wide range of applications, including systems that integrate Generative AI (LLMs) into business workflows.
This role is primarily focused on cloud architecture, backend engineering, and production operations, with exposure to AI-driven use cases.
Design, deploy, and operate services on Google Cloud (GKE, Cloud Run, Compute Engine)
Build and maintain Python-based backend services (APIs, microservices)
Design cloud architectures that are scalable, resilient, and cost-efficient
Implement monitoring, logging, and alerting for production systems
Troubleshoot and resolve production issues (latency, errors, availability, cost)
Collaborate with AI and backend teams to integrate LLM-based features into systems
Contribute to the evolution of the cloud platform, best practices, and standards
Support CI/CD pipelines and deployment automation
What we offer
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Sponsored certifications
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Access to hands-on workshops and expert-led trainings in Google Cloud and AI agent development (architecture, deployment, and best practices)
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Advanced training sessions on AI, multi-agent systems, and cloud-based solution architecture in collaboration with Google specialists
