GCP Full-Stack Data & AI Engineer, AS

Overview

As a GCP Full-Stack Data & AI Engineer, you will deliver secure, scalable cloud-native applications spanning user interfaces, APIs, data services, AI capabilities, deployment, and production support. You will convert business needs into maintainable solutions, contribute to technical decisions, and help improve engineering standards across the software lifecycle.

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 well-documented REST APIs.
• Integrate applications with enterprise systems, data stores, event streams, and third-party services.
• Embed authentication, authorization, validation, error handling, auditability, and automated testing throughout the application lifecycle.
• Build and optimize batch and streaming pipelines and analytical or operational data models on Google Cloud.
• Integrate RAG, conversational AI, and agentic workflows into enterprise applications, with measurable evaluation for quality, safety, latency, and cost.
• Enforce data quality, lineage, governance, privacy, access control, and responsible AI requirements.
• Provision secure, reusable cloud environments and delivery pipelines for frontend, backend, data, and AI components.
• Own production readiness, deployment, rollback, observability, autoscaling, disaster recovery, runbooks, and support handover.
• Monitor reliability, performance, security, user experience, and cloud cost.
• Resolve cross-stack incidents through root-cause analysis and corrective action.
• Contribute to architecture decisions, technical documentation, engineering standards, and knowledge sharing.

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.
• Clean-code practices, data structures, object-oriented design, and software design patterns.
• Production experience with React or Angular, including component architecture, state management, routing, responsive design, accessibility, browser security, and performance optimization.
• Strong experience with FastAPI, Flask, and the design, integration, documentation, versioning, and support of REST APIs.
• Hands-on experience with Cloud Run, BigQuery, Cloud Storage, and Secret Manager.
• Working knowledge of relevant services such as Cloud Composer or Apache Airflow, Pub/Sub, Cloud SQL, Firestore, and Memorystore.
• Proficiency with Git, Docker, Terraform, Artifact Registry, Cloud Build, and CI/CD practices.
• Automated API, integration, UI, security, and performance testing.

Nice to have

• Practical experience delivering secure, scalable, and supportable solutions across the listed advanced technical and design areas; candidates are not expected to have production-level expertise in every listed technology.
• Architecture experience designing modular solutions spanning user interfaces, services, event-driven components, data stores, AI capabilities, and external integrations, balancing scalability, maintainability, reliability, and cost.
• Experience applying OAuth 2.0, OpenID Connect, JWT, IAM, API gateways, CORS, rate limiting, secrets management, input validation, and OWASP-aligned practices.
• Strong hands-on experience with API testing using Postman and automated test frameworks.
• Ability to implement unit, integration, contract, UI, end-to-end, security, and performance tests using tools such as Pytest.
• Experience implementing observability, autoscaling, SLOs/SLIs, incident response, capacity planning, and resilience using Google Cloud Operations.
• Experience applying data modelling, batch and streaming design, orchestration, data quality, lineage, governance, query optimization, and secure publishing practices.
• Experience building and evaluating RAG, conversational, and tool-enabled agent solutions using Gemini models, embeddings, vector databases, Dialogflow CX or CX Agent Studio, and the Google Agent Development Kit (ADK).
• Familiarity with multi-agent orchestration, agent-to-agent protocols, guardrails, and human oversight.
• Experience contributing to design and code reviews, promoting reusable standards, supporting other engineers, and communicating technical trade-offs across product, UX, security, architecture, data, and operations teams.

Details

• Location: Pune, India.