Who is Sonar?
Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.
Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.
We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company.count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:
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SonarQube: The world’s leading AI code review and verification platform.
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SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
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SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.
Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:
With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.
Position description
As a full stack engineer at Sonar, you will deliver end‑to‑end product features across backend services and web frontends that directly improve key user and business outcomes. You will help evolve your squad’s architecture to ensure it remains reliable, performant, and secure as we scale. You will raise the engineering bar through high standards for code quality, automated testing, and delivery practices. You will operate as an AI-native engineer who uses AI tools programmatically - accelerating routine tasks while maintaining full ownership of design, correctness, and security.
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.
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.
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.