Responsibilities:
Architect and implement scalable, secure, and high-performance full-stack solutions using Python, React, and modern web technologies.
Design and develop RESTful and GraphQL APIs with a focus on modularity and reusability.
Integrate and optimize Neo4j graph databases for complex relationship-based data models.
Define and implement data fabric strategies to unify and virtualize data access across systems.
Collaborate with UX and data teams to design intuitive front-end interfaces that interact seamlessly with the data layer.
Deploy and manage containerized applications using Kubernetes and Docker.
Implement caching and real-time data strategies using Redis.
Create and maintain comprehensive architecture documentation, including:
Use case definitions
UML sequence diagrams
Component and deployment diagrams
Data flow and integration models
Lead architectural reviews and ensure alignment with enterprise standards.
Mentor development teams and provide technical leadership across projects.
Required Skills & Experience:
Strong proficiency in Python (Flask, FastAPI, Django) and JavaScript/TypeScript with React.
Expertise in API design, including REST and GraphQL.
Hands-on experience with Neo4j and Cypher.
Solid understanding of Kubernetes, Docker, and microservices architecture.
Experience with Redis for caching and pub/sub patterns.
Familiarity with data fabric concepts and metadata-driven design.
Proficiency in architecture documentation, including:
UML modeling (sequence, class, component diagrams)
Use case and system interaction documentation
Technical specifications and design blueprints
Strong communication and collaboration skills.
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