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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # USA_Developer - **Company:** Varite Inc - **Location:** Phoenix, AZ, United States - **Experience:** Experienced - **Salary:** $102,419.0 - $105,560.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Cloud Computing, Code Review, Continuous Integration, Data Visualization, Relational Databases, DevOps, Django Web Framework, Github, Design of User Interfaces, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Metadata, NoSQL, Performance Tuning, E2e Testing, Ui Patterns, Standard Sql, Search Technologies, Secure Coding, Software Engineering, SQL Databases, TypeScript, WebSocket, Data Logging, Data Processing, Scripting, Enterprise Software Applications, Data Ingestion, ReactJS, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Cypress (Programming Language), Generative AI, Backend, Agentic-AI, Fastapi, Pytest, Containerization, Semi-structured Data, Kubernetes, Playwright, Drilldown, Graphql, Front End Software Development, React Redux, React Testing Library, Invoking Functions, Restful APIs, Docker, Jenkins - **Published:** November 4, 2026 - **Apply:** https://www.careerbuilder.com/job-details/usa-developer-phoenix-az--81e9f289-d308-4daa-9a84-3800f0640698 ## About the Role Python Programming/Scripting Language, Software Engineering, User Interface/Experience (UI/UX), Reporting Dashboards, Metadata, Application Programming Interface (API), Artificial Intelligence (AI), GraphQL, REST (Representational State Transfer), Semantic Search, Full-Stack Engineering - React & Python * Strong 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 skill Keywords: React 19, React.js, TypeScript, JavaScript, React Hooks, Redux Toolkit, React Query, Python 3.11, FastAPI, REST API, GraphQL, WebSockets, Full Stack, Capability Catalog, Capability Map, Taxonomy, Hierarchy, Tree View, Graph Visualization, Data Visualization, Search, Filtering, PostgreSQL, SQL, Generative AI, LLM, RAG, Semantic Search, Embeddings, AI Agents, Agentic AI, MCP, Tool Calling, Docker, Kubernetes, GitHub Actions, Jenkins, CI/CD, Jest, React Testing Library, PyTest, Playwright, Cypres Experience: 5-6 Years Skills: Category Name Required Importance Experience SkillCategoryTest1_MN Digital : Python Yes 1 4-7 years ## Description * Design, 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. * Transform capability and metadata inputs into normalized hierarchical/relationship models for presentation and downstream use. * Build Python/FastAPI services for capability data ingestion, transformation, validation, search and API delivery. 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. * 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.