Specialist - Cloud Engineering

Role Description

GCP AI Dev Role P3 position Experience Required 5 years

Key Responsibilities

GCP Gemini Enterprise Agent Platform Cloud run cloud storage GKE Network Databases

Build and develop Gen AI applications AI Agents and RAG based solutions

Build and integrate MCP servers and multi agent frameworks

Drive architecture and technical solutioning and implementation with client

Create architecture and design artifacts for solutioning

Design scalable backendAPI layers using Java or Python FastAPIFlask

Deploy and optimize solutions on Google Cloud Gemini Enterprise Agent Platform Cloud Run GKE

Provide technical leadership guide team members and enforce code quality and best practices

Collaborate with cross functional teams to align architecture with business needs

Meeting the Security Standards and Align with responsible AI

Core Skills Must Have

Strong experience in Java Python API development backend engineering

Strong expertise in AI architecture and design

Hands on experience in AI app development ADK or LangChain LLMs Agents RAG pipelines embeddings vector search

Proven experience building MCP servers or agent orchestration components

Strong experience of Google Cloud Gemini Enterprise Agent Platform preferred

Ability to lead teams mentor juniors and conduct reviews

GCP Gemini Enterprise Agent Platform Compute Services Storage Services GKE Network Databases

Preferred Skills

Experience with AI frameworks LangGraph LlamaIndex ADK Agent Dev Kit A2A

Strong understanding of multi agent systems orchestration

Experience in multi cloud is a plus

Google Cloud certifications PCA or ML Engineer Agentic AI badges or GCP Gen AI Leader

Soft Skills

Excellent communication stakeholder collaboration

Strong decision making and architectural ownership

Ability to coach teams and build engineering maturity