SonarSource
AI Systems Engineer
Austin, Texasemployee / full-timemidAdded 2 days ago
About this role
Sonar seeks an AI Systems Engineer to build and maintain infrastructure for an AI code verification platform used by Fortune 100 companies. You'll work on systems that ensure AI-generated code is secure, reliable, and compliant at scale.
What you'll do
- Design and maintain scalable systems for AI code verification and governance
- Support integration with major AI development tools and platforms
- Implement monitoring and observability for code review and agent repair services
- Collaborate on infrastructure that serves enterprise customers globally
- Troubleshoot and optimize system performance and reliability
- Contribute to cloud architecture and deployment pipelines
What they're looking for
- Distributed systems design and architecture
- Cloud infrastructure (AWS, GCP, or Azure)
- Kubernetes and containerization
- Python or Java backend development
- Database design and optimization
- CI/CD and DevOps practices
- System monitoring and observability tools
- API design and integration
Benefits
- Work on AI tools used by industry leaders like Nvidia and Goldman Sachs
- Global team with hubs in 8 cities
- Profitable, fast-growing company with $400M+ revenue
- Opportunity to shape the future of agent-centric software development
- Access to cutting-edge AI and code verification technology
- Collaborative culture focused on quality and impact
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SonarSource
SonarSource builds AI-powered code review and verification solutions that help enterprises ensure software quality, security, and governance. The company is hiring cloud infrastructure engineers, technical writers, sales engineers, and solutions specialists to support its platform and serve federal and enterprise customers.
- Website
- sonarsource.com
Likely interview questions
- How would you design a scalable system to handle real-time code verification across multiple AI platforms?
- Describe your experience building or maintaining distributed systems at scale.