GCP Full-Stack Data & AI Engineer, AS

Overview

Build secure, scalable, cloud-native full-stack applications spanning user interfaces, APIs, data services, AI capabilities, deployment, and production support on Google Cloud.

What you'll do

• Translate business and user needs into technical designs, estimates, delivery plans, and production-ready solutions.
• Develop accessible web interfaces, Python services, and documented REST APIs.
• Build batch and streaming pipelines and data models on Google Cloud.
• Integrate RAG, conversational AI, and agentic workflows into enterprise applications.
• Provision cloud environments and delivery pipelines for frontend, backend, data, and AI components.
• Own production readiness, deployment, observability, autoscaling, disaster recovery, and support handover.
• Resolve cross-stack incidents through root-cause analysis and corrective action.

What you'll need

• 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.
• Production experience with React or Angular.
• Strong experience with FastAPI, Flask, and REST API design and support.
• Hands-on experience with Cloud Run, BigQuery, Cloud Storage, and Secret Manager.
• Proficiency with Git, Docker, Terraform, Artifact Registry, Cloud Build, and CI/CD practices.
• Experience with automated API, integration, UI, security, and performance testing.

Nice to have

• Experience with Gemini models, embeddings, vector databases, Dialogflow CX or CX Agent Studio, and Google ADK.
• Experience with OAuth 2.0, OpenID Connect, JWT, IAM, API gateways, and OWASP-aligned practices.
• Experience with observability, autoscaling, SLOs/SLIs, incident response, and resilience.
• Experience contributing to design and code reviews and supporting other engineers.

Details

• Location: Pune, India.