Support Engineer

3 нед. назад

SwitzerlandEuropeOnsite

Providing support engineering services for 's AI code verification products.

Who is Sonar? Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, 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,, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explaina

Help customers integrate our solutions across their development pipeline. It means helping with the technical integration with developer IDE, ALMs, and Continuous Integration chain; the integration to software lifecycle (SCM, build, test), and the integration to existing business applications (identity provider, database, etc.).
Drive technical issues to resolution: from the qualification of customer concerns to conducting an in-depth technical investigation and managing customer relationships all along the way.
Collaborate with Sales and Consultants to improve overall customer experience and make sure that our Service offering brings maximum value to our customers.
Work with the rest of the team to listen, challenge, and refine customers feedback to feed discussions with product teams and shape product evolutions.
Have a voice in enhancing the way we work.

Software engineering best practices, with at least 3-5 years of experience in supporting, or maintaining and delivering high-quality software.
2+ years experience using or administrating a DevOps pipeline: SCM (e.g. Git, SVN), IDE (e.g. Visual Studio, IntelliJ), CI (e.g. Jenkins Pipelines, Azure DevOps, BitBucket, GitLab). More than acronyms, these are the tools that our customers use and that our products integrate with.
Demonstrated curiosity and practical experience using AI tools in development, troubleshooting or workflow optimization
Working knowledge of both local and cloud-based software deployment platforms and technologies, including Linux, Windows, Docker, Kubernetes, AWS, Azure
Investigation skills to understand problems in their context and the ability to reproduce these scenarios.
Team player, receiving and giving feedback as well as sharing knowledge.
Can-do attitude: challenging status quo, leading and contributing to key improvements and innovations.
Excellent English, verbal/written communication skills