GCP Application Architect
- Quantum World Technologies Inc.
17 Hours Ago
NA
W2
Remote
12-17 Years
Required Skills: LangChain, LlamaIndex, AutoGen, Kubernetes, AWS, Azure, VSCode, Cursor
Job Description
Qualifications
- 12+ years of experience in application architecture, software engineering, and cloud-native system design.
- Strong Product Development Background: Proven hands-on experience in the actual build, engineering, and launching of end-to-end, high-scale consumer-facing (B2C) products.
- Agentic AI Expertise: Practical experience designing systems using Agentic AI patterns, large language models (LLMs), and orchestration frameworks (e.g., LangChain, LlamaIndex, AutoGen) to build autonomous, action-oriented product features.
- GCP Platform Expertise: Deep, hands-on experience designing and deploying enterprise solutions natively on Google Cloud Platform (GCP). You must be able to articulate the "why" behind your architectural decisions and the trade-offs considered.
- Highly Desirable Multi-Cloud Versatility: Broad, hands-on architectural and product delivery experience spanning multiple major cloud platforms (specifically AWS or Azure alongside GCP).
- Business Consultation & Strategy: Exceptional business acumen with experience leading technical and product scoping discussions with non-technical business executives and product owners.
- Modern Architecture Mastery: Deep expertise in microservices, event-driven architecture, API-first principles, container orchestration (Kubernetes), and modern caching/database strategies (Relational and NoSQL).
- AI-Native Tooling Proficiency: Familiarity or hands-on experience leveraging AI-native development tools (e.g., integrated coding assistants in VSCode, Cursor, etc.) to accelerate the product development lifecycle.
- Certification: Google Cloud certification (e.g., Professional Cloud Architect) is strongly preferred.
Responsibilities
- Enterprise Architecture Strategy: Define and govern scalable, secure, and high-performance B2C product architectures on Google Cloud Platform (GCP), ensuring alignment with enterprise-wide standards.
- Agentic AI & LLM Orchestration: Architect and integrate autonomous, multi-agent AI systems that can execute complex workflows, retrieve external data, and drive intelligent, context-aware user interactions within B2C applications.
- End-to-End Product Build & Delivery: Actively lead the end-to-end product build, translating conceptual product roadmaps into production-grade, resilient digital applications.
- Business & Product Alignment: Act as the primary technical bridge between business strategy and engineering execution; lead requirements-gathering workshops and translate strategic business goals into clean functional specifications, product roadmaps, and user stories.
- System Blueprinting: Design the complete system architecture, including mobile/web front-ends, event-driven microservices, secure data persistence layers, and third-party API integrations.
- GCP-Native Design: Architect modern, cloud-native services utilizing a range of GCP offerings (e.g., GKE, Cloud Run, BigQuery, Apigee) while ensuring the flexibility to design for multi-cloud environments.
- Engineering Governance: Establish robust engineering standards for API design, schema definition, code quality, testing automation, and CI/CD pipelines to ensure continuous, high-quality product deployments.
- Hands-on Technical Leadership: Provide technical governance and coaching to cross-functional product development teams on modern architecture, domain-driven design, and robust coding standards.
