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
At Sonar, we believe that simply reporting code issues is not sufficient. To truly level up the quality of the world's software, we must empower millions of developers to fix them automatically. With over 400,000 enterprises relying on our products, we hold a unique lever to shape how software is built.
Recent breakthroughs in AI have made autonomous remediation a reality, but the industry faces a major hurdle: Trust. Enterprises cannot automate what they do not trust. As a Software Engineer in the CodeGen squad, you will build the critical backend components for Verified Autonomous Remediation. You will work within a high-performing team to turn research prototypes into reliable, production-grade features that test and validate AI-generated code. You will help us close the "Trust Gap" by delivering robust software that just works.
What you will do
Build Features for the "Unified Remediation Engine". You will implement the backend logic that powers our remediation efforts. You will write clean, reliable code (Java/Python) that routes requests between deterministic QuickFixes and LLM agents, ensuring features are delivered reliably within our existing framework.
Implement Production-Grade Agent Logic. You will take concepts from the Research team and "productionize" them. You will write the specific workflows that allow the Agent to read CI/CD errors, attempt fixes, and iterate until the build is green.
Own Your Code from Local to Cloud. You are responsible for the full lifecycle of the features you build. You will deploy your services to AWS, monitor their health (metrics/logs), and troubleshoot production issues to ensure high availability for our users.
Secure & Optimize Execution. Working within our existing sandboxing framework, you will implement the runners and isolation layers required to execute AI-generated code safely. You will ensure your implementation is secure and efficient.
Collaborate & Share Knowledge. You will be an active member of the squad, reviewing PRs, documenting your work, and sharing knowledge with peers. You will act as a subject matter expert for the specific components you own, ensuring the team moves forward together.
Experience and qualifications
Solid Backend Engineering (3+ years). You have a track record of building and maintaining backend systems. You write clean, testable code and care about software craftsmanship.
Polyglot Versatility (Java & Python). You are comfortable with one of the core languages: Java (for integration with the Core Sonar ecosystem) or Python (for AI/Agent logic). You pick up new tools and syntax quickly.
Cloud Operations (AWS). You understand how your code runs in the cloud. You have experience with AWS (Lambda, ECS, or similar) and are comfortable with deployment pipelines, logging, and basic infrastructure monitoring.
Systems Fundamentals. You understand how different services talk to each other (REST, queues, async processing). You know how to debug a distributed system when things go wrong.
Interest in AI/LLMs. You are excited about the potential of AI in software development. Experience using LLM APIs (OpenAI/Anthropic) is a plus, but a willingness to learn how to integrate them into backend workflows is essential.
Ownership Mindset. You don't just "take tickets." You own the delivery of your tasks, raising risks when necessary and ensuring your work meets high quality standards before it reaches production.
Additional comments
This role is based in Geneva. We are unable to consider candidates unwilling to be in Geneva, but we are willing to relocate the right candidate.