Mozilla

Staff Software Engineer

Mozilla

full-time

Posted on:

Location: 🇺🇸 United States

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Salary

💰 $138,000 - $237,000 per year

Job Level

Lead

Tech Stack

CloudDockerGoJavaJavaScriptKubernetesOpen SourcePythonRubyRuby on RailsRustTerraform

About the role

  • 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
  • Deliver key product features for on prem and cloud native core products and scale for global adoption

Requirements

  • 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)
  • Experience with enterprise integrations (SIEM/SOAR, SOC tools, HIPAA, PCI-DSS, SOC2, ISO, GDPR) (nice to have)
  • Contributions to open-source security or AI projects (nice to have)
  • Background in adversarial ML research or compliance-focused security (nice to have)