Fullstack Software Engineer, DX

What were 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. Were 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. Thats us. Were 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. Theres zero fluff minimal meetings no bureaucracy and a culture that maximizes builder time. You wont 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.

• 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 youd 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 whats 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. Youd 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. Were focused on solving user problems well not chasing the latest framework.

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: $150300 - $196225

Zone B: $135270 - $176603

Zone C: $124749 - $162867

Your background:

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

• Bachelors or Masters 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.