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.
Position description
We are entering a transformative era: the shift toward an Agentic SDLC, where AI agents and humans collaborate seamlessly to build better software. As a Software Engineer on this squad, you will help keep our high-scale integration infrastructure reliable and evolving, while beginning to explore how these same connective systems will serve the next generation of AI-driven workflows.
Deliver Features on the Integration Core. You will implement well-scoped backend features that keep our DevOps Platform integrations reliable and extensible — repository importing, binding, authentication, and webhook processing.
Own Your Code from Local to Cloud. You will write clean, testable Java code and own your work from local development to production. You are responsible for the full lifecycle of the features you build. You will deploy to AWS, monitor service health through metrics and logs, and troubleshoot production issues to maintain high availability for our users.
Enable Other Squads. You will contribute to the libraries and APIs that other engineering teams use to interact with DevOps platforms. Small improvements here have a multiplying effect across the organization.
Contribute to Agentic Workflow Features. As the squad expands its integration surface to serve AI agents, you will contribute to these new capabilities — helping build and test the connectors and APIs that allow agents to consume Sonar context and act within DevOps platforms, building practical experience with emerging patterns like MCP.
AI-Native Engineering. Use AI assistants pragmatically to speed up low-level tasks (boilerplate, refactorings, test scaffolding) while keeping full responsibility for architecture and quality.
Collaborate & Grow. You will review PRs, write documentation, and participate in design discussions. You will learn from staff engineers on the squad and contribute your own perspective as you build expertise in your domain.
Strong CS Fundamentals. You have a Bachelor’s or Master’s degree in Computer Science (or related field). You have a solid grasp of Algorithms, Data Structures, and Complexity Analysis.
Polyglot Potential (Java & Python & Typescript). You are proficient in at least one major language (Java or Python is a plus) and are eager to work in a hybrid environment. You care about code style, modularity, and writing clean, testable logic.
Curiosity for Systems. You understand the basics of how computers talk to each other ( API basics, Linux environment). You might not be an AWS expert yet, but you are eager to learn how to build distributed systems in the cloud.
Interest in AI/LLMs. You have a genuine interest in the AI space. You may have taken university courses on ML, experimented with OpenAI APIs in hackathons, or written a thesis involving NLP. You are excited to apply this to real-world engineering problems.
Analytical Mindset. You are not satisfied with "it works on my machine." You want to understand how things work under the hood and enjoy digging into data to understand why a system behaves the way it does.
Our Technical Stack
Languages: Java (Primary), Python (AWS CDK), TypeScript and React (integrations, frontend)
Infrastructure: AWS (Lambda, ECS, API Gateway, SQS, RDS etc), Docker
Integrations: GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Slack
Principles: Pragmatic code, SOLID, TDD, distributed systems
This role is based in Geneva, Switzerland . We are unable to consider candidates unwilling to be in Geneva , but we are willing to relocate the right candidate.
We value diversity, equity, and inclusion
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you need any accommodation, please reach out to us at [email protected] .
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
Applications that are submitted through agencies or third party recruiters will not be considered.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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