Fullstack Software Engineer, DX

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.

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.