Staff Software Engineer - Trust & Safety

New
100% remote work across the United States (excluding Hawaii)Full-TimeStaff
Salary not disclosed
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Job Details

Experience
8+ years
Required Skills
SQLFull Stack DevelopmentNosqlMicroservicesDistributed Systems

Requirements

  • 8+ years of software engineering experience in production environments
  • At least 1+ year of hands-on experience in Trust & Safety, fraud prevention, or risk systems
  • Experience helping build or shape a new engineering team or function from the ground up
  • Strong full-stack engineering experience with database-backed applications (SQL and/or NoSQL)
  • Experience designing and building microservices-based architectures
  • Proven ability to work across technical and non-technical stakeholders in cross-functional environments
  • Experience leading architecture discussions, defining patterns, and mentoring senior engineers
  • Strong ownership across the full software lifecycle: design, implementation, deployment, monitoring, and iteration
  • Experience working on complex, high-reliability systems with measurable real-world impact
  • Strong debugging and incident response skills, including on-call experience

Responsibilities

  • Lead the design and development of Trust & Safety systems that detect, prevent, and remediate fraud, abuse, and policy violations across platform workflows.
  • Architect and build scalable full-stack systems (microservices, APIs, and data-driven services) that enforce Trust & Safety policies across users and internal operations
  • Develop tools and workflows to investigate, monitor, and mitigate risks such as billing anomalies, credential misuse, and suspicious platform activity
  • Define system architecture and engineering standards for a new Trust & Safety domain, including data models, detection logic, and enforcement mechanisms
  • Partner with cross-functional teams (product, operations, legal, and clinical stakeholders) to translate policy requirements into technical solutions
  • Build and integrate automated detection systems using modern data pipelines and infrastructure
  • Lead technical decision-making across planning, design, implementation, deployment, and post-launch monitoring
  • Mentor engineers, review system designs, and establish best practices for reliability, scalability, and maintainability
  • Contribute to on-call support and incident resolution for high-priority Trust & Safety issues
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