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# React Developer / Engineer

- **Company:** Siri InfoSolutions Inc
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $118,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Computer Animation, Adobe InDesign, Application Programming Interfaces (APIs), Unit Testing, Microsoft Basic Data Partition, Cascading Style Sheets (CSS), Data Integration, Data Structures, Data Warehousing, Python (Programming Language), Responsive Web Design, SQL Databases, Data Streaming, TypeScript, Website Wireframe, Data Processing, ReactJS, Flask (Web Framework), Backend, Fastapi, Material UI, Codebase, Front End Software Development, Restful APIs, Data Pipelines, Service Stack
- **Published:** August 16, 2026
- **Apply:** https://www.careerjet.com/jobad/us854da16adbe18e6e8001640ae7307647

## About the Role

React proficiency demonstrated through clear, well-built professional experience.
TypeScript or strong JavaScript fundamentals with a clear understanding of type safety and why it matters in a team codebase
Python proficiency: able to write backend services, REST APIs, and data manipulation scripts without significant support
SQL working knowledge: able to query, filter, join, and aggregate data independently - including window functions and CTEs
Ability to read a wireframe and translate it into working front-end code with attention to detail and interaction fidelity
Clear communicator: able to ask for what you need, flag blockers early, and explain a technical decision in plain terms
Tech Stack: Core Front-End
React: components, hooks, props, state - able to build from scratch without a tutorial open
TypeScript / JavaScript: type annotations, async patterns, browser fundamentals
CSS: layout, responsive design, basic animation - comfort translating a design into code
Testing: unit tests with Jest or equivalent; understanding of why tests exist, not just how to write them
Backend & Data
Python: FastAPI, Flask, or equivalent for building REST APIs and backend services
SQL: SELECT, JOIN, GROUP BY, window functions, subqueries - comfortable querying a data warehouse independently
REST API design: data contracts, request/response handling, error patterns
Basic data pipeline awareness: able to read and understand how data flows from source to surface

## Description

Work seamlessly across the entire technology stack with a primary focus on React on the front end while managing Python-based backend services, APIs, and data integrations.
Own the entire lifecycle of what you ship across the full surface area of your work.
Build frontend interfaces, write corresponding backend endpoints, and collaborate closely with data scientists to understand and render model outputs.
Harden, orchestrate, and convert agentic output into enterprise-grade UI applications optimized for maximum security, usability, and performance.
Functional Prototyping
Develop working, functional prototypes using real, interactive code rather than static, click-through designs.
Iterate rapidly to enable the team and end-users to interact with features early, allowing for quick directional shifts. Prioritize speed to close the gap between design and functionality, validating features quickly before committing to full-fidelity production.
Component Library Contribution
Contribute reusable components to a shared library that powers the entire portfolio of intelligence products.
Learn, apply, and maintain strict design and coding conventions across the shared library.
Document your work thoroughly and write robust tests to ensure all shared components are safe and stable for reuse.
Cultivate a strong architectural sense of what features belong in a shared library versus what should remain product-specific.
Design Collaboration
Partner directly with designers to read wireframes precisely, ask critical questions early, and identify implementation constraints before they lead to rework.
Actively participate in design reviews, user feedback sessions, and strategic product decisions.
Formulate, maintain, and clearly communicate a strong, informed point of view on product design and user experience.
Backend Services & Data Integration
Build and maintain the backend services and API layers that connect data pipelines, scoring models, and structured data assets to front-end surfaces.
Write robust endpoints, define and manage clear data contracts, and proactively handle complex edge cases to elevate prototypes to dependable, field-ready systems.
Collaborate closely with data scientists and platform engineers to comprehend data structures and guarantee accurate frontend presentation.


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