Full Stack Engineer (Java)

What you will do

• Design and implement features across the stack: backend services and APIs, frontend components and flows, and the integration between them.
• Collaborate with Product Managers, UX designers, and other engineers to clarify problems, propose solutions, and break the work into incremental, shippable slices. As the work is done, you will also help raise awareness of problems across the team.
• Own the delivery lifecycle of your work: automated tests, CI pipelines, deployment, and follow‑up on metrics and production behavior.
• Use AI assistants pragmatically to speed up low‑level tasks (boilerplate, refactorings, test scaffolding) while keeping full responsibility for architecture and quality.
• Review code and participate in design discussions, providing clear and constructive feedback - including on AI‑generated code.
• Improve the systems and pipelines that allow AI-generated code to be safely integrated into production.
• Identify and tackle pragmatic refactoring opportunities and technical debt to improve maintainability, performance, or developer experience.
• Mentor teammates in both technical excellence and effective AI-native workflows.
• Share responsibility for service availability with your team, collaborate with customer facing teams to investigate issues, and participate in on call rotations.

Experience and qualifications

• 5+ years of experience building and operating web‑based products in production cloud environments.
• Strong backend skills in Java (our core backend language) or an alternative backend focused language, such as Go or Python. 
• Experience designing, implementing and consuming HTTP APIs.
• Solid frontend experience with a modern JS/TS stack (e.g., React or similar), including component design, state management, and testing.
• Familiarity with databases and web infrastructure (relational storage, caching, messaging queues, REST/JSON, AuthN/Z).
• Experience architecting cloud-native applications.
• Hands-on experience with automated testing, CI/CD and observability practices.
• Experience evaluating and integrating AI‑assisted development tools into your workflow while maintaining high quality and security standards.
• Extensive hands-on experience with experimentation, incorporating customer feedback into the development cycle. 
• Practical experience with distributed systems that serve millions of users.
 
How you work:
 
• Ownership and accountability: You feel responsible for the long‑term health and correctness of what you ship, whether written by you or generated with AI assistance.
• Collaborative by default: You communicate with clarity, seek alignment early, and view candid feedback as a tool for growth.
• AI‑native mindset: You treat AI tools as collaborators—not oracles—validating their output, understanding their limits, and using them to focus on higher‑value design and problem‑solving.
• Pragmatic and incremental: You balance architectural excellence with the need to deliver value quickly and iteratively.

Additional comments

This role is based in Austin. We are unable to consider candidates unwilling to be in Austin, but we are willing to relocate the right candidate.