GCP Full-Stack Data & AI Engineer, AS
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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end delivery of full-stack applications and AI/data pipelines on Google Cloud, including frontend, backend, data, AI, and production support.
Translate business needs into scalable, secure technical designs and production-ready solutions including user interfaces, APIs, and data services.
Manage cloud infrastructure, deployment, observability, autoscaling, disaster recovery, and incident resolution for assigned solutions.
Minimum Requirements
6–10 years of hands-on software engineering experience delivering enterprise applications and data-intensive systems in production.
Advanced proficiency in Python, SQL, and JavaScript or TypeScript with strong clean-code and design pattern knowledge.
Production experience with React or Angular for frontend and FastAPI or Flask for backend REST APIs.
Hands-on experience with Google Cloud services including Cloud Run, BigQuery, Cloud Storage, Secret Manager, and familiarity with DevOps tools like Git, Docker, Terraform, and CI/CD.
Ideal Candidate Profile
Experienced in architecting modular, scalable, and secure cloud-native solutions across UI, services, event-driven components, AI, and data domains.
Skilled in applying OAuth2.0, OpenID Connect, API gateways, automated testing frameworks, and Google Cloud Operations for production reliability.
Able to lead technical design reviews, promote reusable standards, and collaborate with cross-functional teams on product, UX, security, and operations.