Cloud Architect

2 days ago

Bengaluru, Karnataka, India beBeeArchitect Full time ₹ 15,00,000 - ₹ 26,00,000
Job Description

We are seeking a seasoned Architect to design and implement cutting-edge AI-powered platforms. The ideal candidate will have extensive experience in software engineering, cloud-native architecture, and technical leadership.

Key Responsibilities:

  • Develop and oversee the implementation of event-driven and microservices architectures to ensure scalability, maintainability, and performance.
  • Collaborate with cross-functional teams including data scientists, product managers, and frontend/backend engineers to design integrated AI solutions.
  • Evaluate, select, and implement AI agent frameworks such as LangGraph, CrewAI, LlamaIndex, and ensure alignment with emerging standards like MCP and A2A.
  • Define and implement best practices for API design, system security, identity and access management (RBAC, OAuth), and DevSecOps.
  • Oversee the implementation of modern frontend frameworks (React, Next.js, Vue.js) with an emphasis on responsive design, accessibility, and component-driven development.
  • Optimize frontend-backend integration using RESTful and gRPC APIs in multi-user SaaS environments.
  • Support CI/CD pipelines, container orchestration (Docker, ECS/EKS), and cloud infrastructure on AWS.
Required Skills & Qualifications
  • 12+ years of experience in software engineering with 4+ years in architectural or technical leadership roles.
  • Hands-on experience with event-driven architecture, microservices, Docker, ECS/EKS, and API Gateways.
  • Strong background in cloud-native architecture and AWS services.
  • Familiarity with AI agent frameworks (LangGraph, CrewAI, LlamaIndex) and related orchestration standards (MCP, A2A).
  • Expertise in frontend development with modern frameworks (React, Next.js, Vue.js), including component-driven design and state management.
  • Proficiency in secure architecture design with RBAC, OAuth, and identity management systems.
Preferred Qualifications
  • Prior experience in building platforms with AI/ML integrations.
  • Knowledge of DevOps, MLOps, and automated deployment strategies.
  • Contributions to open-source AI or architectural frameworks are a plus.

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