Google Cloud Engineer

hace 3 semanas


Mexico City Mappa A tiempo completo

We are seeking a skilled Google Cloud Engineer with 3+ years of experience to join our engineering team. The ideal candidate will have strong expertise in Google Cloud Platform services, web UI development, and modern development practices.RequirementsExperience5+ years of professional software engineering experienceProven track record working with Google Cloud Platform (GCP) in production environmentsExperience at established technology companies or high‑growth startupsTechnical SkillsCloud Functions (serverless computing)Cloud Tasks (asynchronous task execution)Web DevelopmentStrong web UI development skills with ReactExperience building responsive, scalable web applicationsComponent‑based architecture and state managementDevelopment PracticesVersion control with GitHubCI/CD pipeline design and implementationAutomated testing and deploymentInfrastructure as Code principlesAgile MethodologyExperience working in Scrum environmentsSprint planning, daily standups, retrospectivesCollaborative team developmentPreferredLLM Implementation Experience: Hands‑on experience deploying and integrating Large Language Models or NN in cloud environmentsExperience with AI/ML services (Vertex AI, Cloud AI Platform)API integration with LLM providers (OpenAI, Anthropic, Google AI)RAG (Retrieval‑Augmented Generation) implementationsPrompt engineering and optimizationVector databases and embeddingsExperience with Terraform or other IaC toolsKnowledge of Docker and KubernetesMonitoring and logging (Cloud Logging, Cloud Monitoring)Security best practices for cloud applicationsPerformance optimization and cost managementKey ResponsibilitiesDesign, develop, and maintain cloud‑based applications using Google Cloud PlatformBuild and optimize web user interfaces with modern frameworksImplement and manage serverless functions and background task processingDevelop and maintain CI/CD pipelines for automated testing and deploymentCollaborate with cross‑functional teams in an Agile/Scrum environmentIntegrate and deploy LLM‑powered features into production applicationsEnsure code quality, security, and scalability best practicesParticipate in code reviews and technical design discussionsMonitor application performance and troubleshoot production issuesWhat We’re Looking ForHas a strong foundation in cloud architecture and best practicesCan write clean, maintainable, and well‑tested codeThrives in collaborative, agile team environmentsStays current with emerging technologies, especially in AI/MLTakes ownership of features from design through deploymentCan communicate technical concepts clearly to both technical and non‑technical stakeholdersNice to HaveOpen source contributionsExperience with other cloud platforms (AWS, Azure)Background in microservices architectureExperience with real‑time data processingFamiliarity with BigQuery for data analyticsPrevious experience in digital health or AI companies #J-18808-Ljbffr



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