Position Overview 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. Required Qualifications: Experience 5+ years of professional software engineering experience Proven track record working with Google Cloud Platform (GCP) in production environments Experience at established technology companies or high-growth startups Technical Skills Google Cloud Platform: Firebase (Authentication, Firestore, Hosting, etc.) Cloud Functions (serverless computing) Cloud Tasks (asynchronous task execution) Additional GCP services (Cloud Run, App Engine, Cloud Storage, etc.) Web Development: Strong web UI development skills with React Experience building responsive, scalable web applications Modern JavaScript/TypeScript frameworks Component-based architecture and state management Development Practices: Version control with GitHub CI/CD pipeline design and implementation Automated testing and deployment Infrastructure as Code principles Agile Methodology: Experience working in Scrum environments Sprint planning, daily standups, retrospectives Collaborative team development Preferred Qualifications Highly Desired LLM Implementation Experience: Hands-on experience deploying and integrating Large Language Models or NN in cloud environments Experience with AI/ML services (Vertex AI, Cloud AI Platform) API integration with LLM providers (OpenAI, Anthropic, Google AI) RAG (Retrieval-Augmented Generation) implementations Prompt engineering and optimization Vector databases and embeddings Additional Preferred Skills Experience with Terraform or other IaC tools Knowledge of Docker and Kubernetes Monitoring and logging (Cloud Logging, Cloud Monitoring) Security best practices for cloud applications Performance optimization and cost management Key Responsibilities Design, develop, and maintain cloud-based applications using Google Cloud Platform Build and optimize web user interfaces with modern frameworks Implement and manage serverless functions and background task processing Develop and maintain CI/CD pipelines for automated testing and deployment Collaborate with cross-functional teams in an Agile/Scrum environment Integrate and deploy LLM-powered features into production applications Ensure code quality, security, and scalability best practices Participate in code reviews and technical design discussions Monitor application performance and troubleshoot production issues What We're Looking For We want someone who: Has a strong foundation in cloud architecture and best practices Can write clean, maintainable, and well-tested code Thrives in collaborative, agile team environments Stays current with emerging technologies, especially in AI/ML Takes ownership of features from design through deployment Can communicate technical concepts clearly to both technical and non-technical stakeholders Nice to Have Open source contributions Experience with other cloud platforms (AWS, Azure) Background in microservices architecture Experience with real-time data processing Familiarity with BigQuery for data analytics Previous experience in digital health or AI companies