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React Dx Jobs (NOW HIRING)

Proven track record modernizing legacy front ends and improving developer experience (DX). Job responsibilities * Lead development of complex, user-facing web applications using React + TypeScript ...

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How much do react dx jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for react dx in the United States is $54.94, according to ZipRecruiter salary data. Most workers in this role earn between $48.08 and $62.50 per hour, depending on experience, location, and employer.

What is a React Dx developer?

A React Dx developer is a software engineer who specializes in building user interfaces using React, a popular JavaScript library for building web applications. The 'Dx' in React Dx often refers to 'Developer Experience,' indicating a focus on tools, patterns, and practices that improve productivity and code quality for other developers. React Dx developers may create libraries, frameworks, or internal tools that streamline development workflows. Their work helps ensure React applications are scalable, maintainable, and easy for teams to work with.

What are the key skills and qualifications needed to thrive as a React Dx developer?

To thrive as a React Developer, you need strong proficiency in JavaScript, deep understanding of React.js and its core principles, and experience with front-end development concepts. Familiarity with tools such as Redux, RESTful APIs, version control systems like Git, and often a relevant degree or certifications in web development are typically required. Excellent problem-solving skills, attention to detail, and effective communication make candidates stand out in team environments. These skills ensure efficient development of responsive, high-quality user interfaces and seamless collaboration in dynamic tech teams.

What are the primary challenges React Dx developers face when working on large-scale applications, and how can they overcome them?

React Developers working on large-scale applications often encounter challenges such as managing complex state, optimizing performance, and ensuring code maintainability. Collaborating closely with UX/UI designers, backend developers, and QA teams is essential to streamline workflows and avoid bottlenecks. Adopting best practices such as component modularization, leveraging React Context or state management libraries like Redux, and implementing code-splitting can help address these challenges and improve scalability. Regular code reviews and clear documentation also play a critical role in maintaining team efficiency and code quality.

What is the difference between React Dx vs React Developer?

AspectReact DxReact Developer
Required CredentialsProficiency in React, JavaScript, UI/UX designProficiency in React, JavaScript, HTML/CSS
Work EnvironmentDesign-focused, user experience enhancementDevelopment-focused, coding and implementation
Employer & Industry UsageTech companies, startups, UI/UX agenciesSoftware companies, web development firms
Common Search & ComparisonYesYes

React Dx professionals focus on designing and improving user experiences using React, combining UI/UX skills with React expertise. React Developers primarily write code, build components, and implement features in React applications. While both roles require React knowledge, React Dx emphasizes design and user interaction, whereas React Developers concentrate on development and coding tasks.

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Infographic showing various React Dx job openings in the United States as of September 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $114,265 per year, or $54.9 per hour.

Fullstack Software Engineer, DX

San Francisco, CA • Remote

Atlassian
Computer and Computer Peripheral Equipment and Software Wholesalers • 501 - 1,000 employees

Full-time

Re-posted 2 days ago


Job description

Overview: DX Fabric — The Context Engine for AI-Native Engineering

What we're building

DX Fabric is the foundational platform that equips engineering organizations with the architectural context, health signals, and impact measurement they need to thrive in the AI era. We're building the context engine that powers AI agents and high-performing teams — a unified software catalog, scorecards, and self-service platform that helps companies understand their entire software ecosystem, find bottlenecks, and drive real improvements at scale.

Think of it this way: as AI agents become part of every engineering workflow, someone needs to give them the context to do their job well — ownership, dependencies, standards, guardrails. That's us. We're building the layer that makes AI-native engineering actually work.

Why this team is different

We operate like a startup inside Atlassian. Our engineering team is intentionally small, which means every engineer owns a massive surface area and ships at extremely high velocity. There's zero fluff — minimal meetings, no bureaucracy, and a culture that maximizes builder time. You won't be handed a pixel-perfect spec and asked to code it. Engineers here think deeply about the end-to-end user experience, collaborate closely with product and design, and iterate quickly based on real customer feedback.

DX was recently acquired by Atlassian, which means you get the best of both worlds: the speed, ownership, and autonomy of a high-growth startup, backed by the resources, scale, and reach of a company whose products are used by hundreds of thousands of teams worldwide.

This role is open to candidates across all U.S. time zones, with a preference for Pacific or Mountain Time. This is a fully remote position.

Responsibilities:

In this role, you will:

  • Build and ship features and capabilities daily in a highly scalable, cross-geo distributed environment.

  • Focus on backend-heavy fullstack development, building robust REST APIs while contributing to customer-facing React components.

  • Review code with best practices of readability, testing patterns, documentation, reliability, security, and performance considerations in mind.

  • Collaborate with other engineers, designers, and product managers to understand user pain points and iterate on great solutions.

  • Ensure full visibility, error reporting, and monitoring of high-performing backend services.

  • Participate in Agile software development including daily stand-ups, sprint planning, and team retrospectives.


What you'd work on

  • Systems Catalog — Mapping software entities, dependencies, and ownership across entire engineering organizations, creating the context layer that informs AI agents and developer tooling.

  • Scorecards — Defining standards and guardrails for both human engineers and AI agents, measuring progress, and surfacing what's actually moving the needle.

  • Self-Service & Agent Ops — Building automated workflows and agentic capabilities that close gaps against standards and let engineers help themselves.

  • Scale challenges — Fabric supports customers with hundreds of thousands of repositories. You'd be solving real infrastructure and data problems at enterprise scale.

Tech stack: Rails, React, TailwindCSS, PostgreSQL — we write a lot of SQL, do heavy database optimization, and keep our tech deliberately simple. We're focused on solving user problems well, not chasing the latest framework.

Pay Ranges:

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $150,300 - $196,225

Zone B: $135,270 - $176,603

Zone C: $124,749 - $162,867

Qualifications:

Your background:

  • 4+ years of experience building and developing backend applications with a lean towards fullstack capabilities.

  • Bachelor's or Master's degree (preferably a Computer Science degree or equivalent experience).

  • Proficiency in any modern object-oriented programming language (e.g., Java, Kotlin, Go, Scala, Python).

  • Experience with JavaScript/TypeScript and supporting libraries (e.g., React, Node).

  • Experience crafting and implementing highly scalable and performant RESTful micro-services.

  • Fluency in at least one database technology (e.g., RDBMS like Postgres and/or NoSQL like DynamoDB).

  • Familiarity with cloud architecture patterns and hands-on experience with public cloud offerings (AWS preferred).

  • A passion for collaboration and strong interpersonal and communication skills.