Agentic Software Engineer (f/m/d)

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:

SonarQube: The world's leading AI code review and verification platform.

SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.

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:

Committed to our customers and community.

Obsessed with quality.

Deliberate in our decisions.

Effective as one team.

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.

The Impact You Will Have:

As an Agentic Software Engineer on the Platform Architecture squad, you will build the multi-agent systems that autonomously refactor and modernize Sonar's own codebase — starting with one of our biggest technical bets: unifying SonarQube Cloud (SQC) and SonarQube Server (SQS) onto a single, portable architecture ("build once, deploy twice"). You will:

Design and build agentic refactoring pipelines that can safely extract a domain's logic from our existing SQS/SQC codebases and re-platform it onto our Unified Core (a hexagonal "capability-core + adapters" architecture), with minimal human oversight.

Define the guardrails that make autonomous refactoring safe at scale — verification gates, automated test generation, static analysis, and rollback strategies that let agents move fast without breaking production code relied on by 7M+ developers.

Prove the approach on real migrations — Micronaut-to-Spring conversions, Lambda-to-container consolidations, API convergence (consolidating overlapping API surfaces onto shared contracts), and strangler-fig domain extractions — before scaling it into a repeatable, multi-agent "coding squad" capable of tackling many domains in parallel.

Stay hands-on in the Java/Spring codebase often enough to critically review what the agents produce, recognize when a refactor is architecturally wrong, and correct the agentic loop that generated it — not just the output.