The Senior Cloud Engineer is responsible for designing, building, and optimizing scalable, cloud-native systems across Google Cloud Platform (GCP). This role focuses on delivering real-time data pipelines, secure backend services, and interactive dashboards using modern technologies such as Firebase, Vertex AI, Node.js, and Next.js. The engineer will collaborate closely with the technical leadership team to develop AI-powered applications and ensure secure, high-performing cloud infrastructure that supports advanced analytics and digital innovation across ID8 Media.
Responsibilities and Duties
Design, implement, and maintain real-time data pipelines using: Pub/Sub for event, streaming, Dataflow for processing , BigQuery for analytics storage and Vertex AI & Gemini for ML/NLP model deployment
Optimize pipelines for performance, reliability, and cost-efficiency.
Develop secure APIs and backend services using Node.js with TypeScript.
Implement role-based access control and security best practices.
Build Next.js (App Router) web applications for dashboards and admin tools.
Ensure responsive and real-time UI/UX, integrating with backend and Firebase services.
Automate cloud infrastructure setup and deployment using Terraform or similar tools.
Manage IAM, secrets, and secure environment isolation.
Monitor systems and application health using GCP monitoring tools.
Requirements
Bachelor's degree in Computer Science or relevant field
5+ years of hands-on experience in cloud engineering, backend development, or full-stack development.
Proven experience designing and implementing scalable cloud-native solutions using Google Cloud Platform (GCP)services such as Pub/Sub, Dataflow, BigQuery, Firebase, and Vertex AI.
Strong background in Node.js (TypeScript), REST API development, and secure backend service design.
Experience building and deploying frontend applications using Next.js (App Router) and responsive UI frameworks (e.g., Tailwind CSS).
Proficiency in DevOps practices, including CI/CD pipelines, infrastructure provisioning (e.g., Terraform), and system monitoring with GCP tools.
Familiarity with AI/ML model integration, real-time data pipelines, and performance optimization.
Knowledge of QA methodologies, testing tools, and scripting for automated testing is a plus.
Comfortable working in Agile/Scrum environments with strong collaboration and communication skills.
Excellent problem-solving abilities, with attention to detail and strong organizational skills.
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