GCP Full-Stack Data & AI Engineer, AS
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Job Description
Structured overview of role & requirementsAbout This Role
End-to-end delivery ownership of secure, scalable cloud-native applications involving frontend, backend, data services, AI features, and production support on Google Cloud.
Translate business requirements into maintainable full-stack solutions including APIs, data pipelines, and AI integrations with attention to security, quality, and governance.
Manage infrastructure provisioning, deployment, monitoring, incident resolution, and contribute to architecture and engineering standards.
Minimum Requirements
6–10 years hands-on software engineering experience with enterprise and data-intensive production systems.
Proficiency in Python, SQL, and JavaScript/TypeScript with experience in React or Angular frontend frameworks.
Strong backend API development experience using FastAPI or Flask and REST API lifecycle management.
Hands-on experience with Google Cloud services including Cloud Run, BigQuery, Cloud Storage, Secret Manager; familiarity with CI/CD, Docker, Terraform and automated testing.
Ideal Candidate Profile
Experienced full-stack engineer capable of designing and delivering modular, scalable cloud applications with integrated AI components on Google Cloud.
Demonstrates expertise in security protocols (OAuth 2.0, JWT, IAM), observability, autoscaling, incident response, and reliability engineering.
Able to lead technical decision-making, conduct reviews, promote standards, and collaborate across product, UX, security, architecture, data, and operations teams.