Cloud Developer Specialist

Description

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 * Strong analytical and problem\-solving skills. * Excellent communication and collaboration skills, with the ability to work effectively in cross\-functional teams * 1–3 years of experience in Cloud Engineer or Backend Engineer role * Hands\-on experience with Google Cloud Platform (preferred), AWS or Azure also considered: * Compute Engine, GKE, Cloud Storage * VPC, Load Balancing, IAM * Cloud Monitoring \& Logging * Willingness to work primarily with Google Cloud Platform * Strong programming skills in Python (primary language) * Experience building and running production backend services * Solid understanding of: * Scalability and distributed systems * High availability and resilience * CI/CD tools (GitHub Actions, GitLab CI, Bitbucket Pipelines, etc) * Exposure to LLMs (Gemini, OpenAI, etc.) is a plus * Professional level of English Nice to have * Infrastructure as Code (Terraform, Cloud Deployment) * Event\-driven or microservices architectures * Google Associate Cloud Engineer certification * Containerization (Docker, Kubernetes) * Agile working experience (Scrum) **What we offer** * Sponsored certifications * Access to hands\-on workshops and expert\-led trainings in Google Cloud and AI agent development (architecture, deployment, and best practices) * Advanced training sessions on AI, multi\-agent systems, and cloud\-based solution architecture in collaboration with Google specialists