Staff Software Engineer, Mozilla

• 10+ years of proven experience in backend systems, distributed infrastructure, or security engineering
• Strong modern Ruby on Rails expertise with solid backend architecture experience
• Deployment experience across modern cloud-native stacks (Docker, Kubernetes, Helm, Terraform, multi-cloud)
• Front-end development skills, particularly with data visualization and charting frameworks (e.g., Chart.js, echarts, or similar)
• Strong programming skills in at least one additional language (Python, Go, Rust, or Java)
• Familiarity with AI/ML security challenges (adversarial ML, content filtering, prompt injection)

Desirable

• In the rapidly advancing world of technology, GenAI and deep learning models are transforming our digital interactions. 0DIN, a next-generation bug bounty program, is here to secure these AI services that are becoming essential to our daily lives
• 0DIN's mission is simple: identify, fix and prevent security flaws in popular AI services. By rewarding security researchers, 0DIN aims to uncover new types of vulnerabilities in GenAI and provide those learnings to the AI builders of the future
• The rise in AI adoption, exemplified by platforms like ChatGPT, highlights the urgent need for security. 0DIN fosters a collaborative environment where innovation in security is both recognized and rewarded, ensuring these technologies remain safe and trustworthy
• 0DIN is more than just an initiative; it's a testament to Mozilla's commitment to digital safety and trust
• Build and scale APIs and backend services, with a focus on Ruby on Rails
• Implement real-time validation, monitoring, and security enforcement for AI-driven workflows
• Evaluate and integrate open source and custom software solutions
• Deploy and manage applications in cloud-native environments (Kubernetes, Terraform, multi-cloud)
• Develop Rails-based features for enterprise integration, compliance reporting, and security workflows
• Build intuitive front-end components, including charting and visualization tools for monitoring and analytics
• Ensure reliability and scalability of services with performance targets (e.g., P95 <15ms latency, 99.99% availability)
• Work with security researchers and product leaders to define the roadmap
• Mentor engineers and contribute to a high-performing technical team
• What success looks like:
• 90 days: Build key product features for on prem and cloud native core products
• 6 months: Build out policy creation, compliance reporting, and chart-driven analytics dashboards
• 12 months: Achieve global adoption with a secure, scalable Rails platform powering predictive defenses