Python React Developer

Location: Onsite - Phoenix, AZ

Duration: 6 Months

Salary Range: $42.00 - $45.00/Hour on W2 (Without Benefits).Applicants must be willing to work on W2Role Description We are seeking a Python React Developer to design, develop, and enhance a modern enterprise Capability Catalog and Capability Map experience using React/TypeScript and Python.

Roles & Responsibilities: Full-Stack Engineering - React & PythonDesign, develop, and enhance a modern enterprise Capability Catalog and Capability Map experience using React/TypeScript and Python. Build intuitive user interfaces to browse, search, filter, and navigate business/technology capabilities and their relationships. Develop reusable React components for hierarchical views, capability details, search results, filters, dashboards, and interactive visualizations. Build Python/FastAPI services for capability data ingestion, transformation, validation, search, and API delivery.

Capability Catalog, Map & Data Experience: Transform capability and metadata inputs into normalized hierarchical/relationship models for presentation and downstream use. Build user experiences using catalogs, taxonomies, hierarchies, trees, graphs, or relationship-driven interfaces for exploring complex enterprise information. Implement advanced search, filtering, sorting, drill-down, metadata-driven navigation, and reusable visualization components. Use modern visualization libraries or graph/tree UI patterns.

Full-Stack Integration & AI Enablement: Design and integrate REST/GraphQL APIs connecting frontend experiences with capability data, enterprise services, and AI-enabled functions. Integrate Generative AI/LLM capabilities where appropriate to enrich, summarize, classify, search, or navigate capability information. Implement semantic search, AI-assisted discovery, tool integrations, or agentic workflows when required, with appropriate validation and guardrails. Integrate AI-generated or AI-enriched capability information into user-facing workflows with validation, guardrails, and traceability. Ensure frontend and backend services are secure, scalable, observable, and maintainable.

Quality, Performance & Production Delivery: Implement unit, integration, and end-to-end tests across React and Python services. Optimize frontend rendering, API latency, data processing, and search/filter performance for large capability datasets. Containerize applications and support deployment through Docker, Kubernetes, and enterprise CI/CD pipelines. Implement logging, monitoring, error handling, and production support practices; troubleshoot issues across UI, APIs, data, and infrastructure. Participate in Agile delivery, technical design discussions, code reviews, documentation, and collaboration with Product, Architecture, UX, Data, AI, and DevOps teams.

Skills Required: Full-Stack Engineering - React & PythonStrong hands-on experience building enterprise full-stack applications using React 19/modern React, TypeScript, and Python 3.11+.Strong React expertise, including functional components, Hooks, state management, routing, reusable component design, responsive UI, accessibility, and frontend performance optimization. Strong Python backend experience using FastAPI; Flask/Django experience is useful. Strong experience designing and consuming secure REST APIs; GraphQL and WebSocket/SSE experience is desirable.

Capability Catalog, Map & Data Experience: Experience building catalog, taxonomy, hierarchy, tree, graph, or relationship-driven user experiences for exploring complex enterprise information. Strong experience transforming structured and semi-structured data into hierarchical models suitable for capability maps and interactive visualization. Experience implementing advanced search, filtering, sorting, drill-down, metadata-driven navigation, and reusable visualization components. Experience with modern visualization libraries or graph/tree UI patterns is highly desirable.

AI & Intelligent Experience Integration: Experience integrating LLM/Generative AI capabilities into enterprise applications using APIs and modern AI frameworks. Exposure to RAG, semantic search, embeddings, AI agents, tool/function calling, MCP, or similar integration patterns is desirable. Ability to integrate AI-generated or AI-enriched capability information into user-facing workflows with validation, guardrails, and traceability.

Data, Cloud & Engineering Practices: Strong SQL experience with PostgreSQL or equivalent relational databases; NoSQL exposure is useful. Experience with Docker, Kubernetes, and CI/CD pipelines using GitHub Actions, Jenkins, or equivalent tools. Experience with automated testing for frontend and backend applications using tools such as Jest, React Testing Library, PyTest, Playwright/Cypress, or equivalent. Strong understanding of authentication/authorization, secure coding, logging, monitoring, error handling, and production troubleshooting. Strong analytical, problem-solving, documentation, and cross-functional communication skills. Essential SkillsFull-stack engineering using React 19/modern React, TypeScript, and Python 3.11+.Strong React expertise, including functional components, Hooks, state management, routing, reusable component design, responsive UI, accessibility, and frontend performance optimization. Strong Python backend experience using FastAPI; Flask/Django experience is useful. Strong experience designing and consuming secure REST APIs. Experience with capability catalogs, maps, taxonomies, hierarchies, trees, graphs, and relationship-driven user experiences. Strong experience transforming structured and semi-structured data into hierarchical models suitable for capability maps and interactive visualization. Experience implementing advanced search, filtering, sorting, drill-down, metadata-driven navigation, and reusable visualization components. Overall Experience Required is 5-6 Years.7+ years of experience with Python.