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# Application Architect - Full Stack, Google Cloud Platform, Gemini & AI Agents

- **Company:** SSTech LLC
- **Location:** Seattle, WA, United States
- **Contract:** Contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Cloud Computing, Cloud Engineering, Continuous Integration, Software Design Patterns, Distributed Systems, Python (Programming Language), Node.Js, Search Technologies, Systems Integration, Google Cloud, Enterprise Software Applications, Spring Cloud, ReactJS, Large Language Models, Multi-Agent Systems, Software Security, Generative AI, Backend, Agentic-AI, Git, Event Driven Architecture, Containerization, AI Platforms, AngularJS, Kubernetes, Front End Software Development, Google Gemini, Restful APIs, Api Management, Docker, Microservices
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/917e88a6-171c-402f-b876-743a4183aef9

## About the Role

We are seeking an experienced Application Architect with strong full-stack development expertise, Google Cloud Platform (Google Cloud Platform) experience, and hands-on knowledge of Generative AI, Gemini, and AI agent development. The ideal candidate will design scalable, secure, cloud-native applications and lead the integration of AI-powered capabilities into enterprise solutions., * Strong experience in application architecture and full-stack application development.

 * Hands-on expertise in at least one backend technology: Java, Node.js, or Python.
 * Front-end development experience with React or Angular.
 * Strong experience with Google Cloud Platform (Google Cloud Platform) and cloud-native application architecture.
 * Practical experience with Google Gemini, Generative AI, and LLM integration.
 * Experience building AI agents, agentic workflows, or AI-powered application features.
 * Strong understanding of REST APIs, microservices, distributed systems, and application security.
 * Experience with CI/CD pipelines, Git, containerization, and cloud deployment practices.
 * Excellent problem-solving, communication, and technical leadership skills., * Experience with Vertex AI, Gemini API, Agent Development Kit (ADK), or other agent orchestration frameworks.
 * Knowledge of Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search.
 * Experience with Docker, Kubernetes, and event-driven architectures.
 * Familiarity with enterprise authentication, authorization, observability, and governance for AI applications.

## Description

* Design and architect scalable, secure, and high-performance full-stack applications using modern technologies.
 * Develop backend services and APIs using Java, Node.js, or Python.
 * Design and develop responsive front-end applications using React or Angular.
 * Architect and deploy cloud-native applications and services on Google Cloud Platform (Google Cloud Platform).
 * Integrate Google Gemini and Generative AI models into enterprise applications.
 * Design and implement AI agents, tool-calling workflows, and intelligent automation solutions.
 * Leverage Google Cloud Platform AI services, such as Vertex AI, for model integration, orchestration, and deployment.
 * Define application architecture, technical standards, design patterns, API integrations, and security best practices.
 * Collaborate with engineering, product, and business teams to translate requirements into scalable technical solutions.
 * Lead technical design reviews, troubleshoot complex issues, and mentor development teams.