Senior Staff Software Engineer, Trust

Accountabilities

• Define and drive the long-term technical vision and architecture for trust and safety systems, ensuring scalability, resilience, and cross-platform adoption.

• Design and build foundational distributed systems that support fraud detection, identity verification, and trust decisioning across the platform.

• Develop and enhance system observability, performance tooling, and reliability frameworks to ensure high availability of mission-critical services.

• Contribute hands-on code to backend and platform systems while guiding architectural direction across multiple engineering teams.

• Partner with product managers, data scientists, and risk/fraud teams to translate evolving threats into scalable technical solutions.

• Lead cross-functional technical initiatives addressing fraud prevention, account security, and platform integrity challenges.

• Mentor and elevate engineers across teams, helping develop future technical leaders within the trust engineering organization.

• Drive improvements in developer experience, internal tooling, and platform usability for engineering teams.

• Champion AI-assisted development practices, including the use of LLM-based tools to accelerate engineering productivity and system iteration.

• Ensure reliability engineering best practices, including SLOs, incident response, resilience patterns, and system recovery strategies.

Requirements

• 12+ years of backend and platform engineering experience building and operating large-scale distributed systems.

• Strong experience designing mission-critical systems with a focus on reliability, scalability, and performance.

• Proven ability to define and execute multi-year technical roadmaps across complex, multi-team environments.

• Hands-on expertise with modern backend languages such as Java, Kotlin, or Scala.

• Deep understanding of system reliability practices, including observability, SLOs, incident management, and fault tolerance.

• Experience working with large-scale infrastructure, platform engineering, or trust/safety systems is highly valued.

• Strong ability to influence technical direction across teams without formal authority.

• Excellent communication skills, with experience collaborating across engineering, product, design, and executive stakeholders.

• Familiarity with AI-assisted development workflows, including LLM-based coding tools, is a strong plus.

• Experience improving developer experience and internal engineering tooling is a plus.

• Bachelor’s, Master’s, or PhD in Computer Science or related field, or equivalent practical experience.

Benefits

• Competitive base salary range: $248,000 – $310,000 USD

• Bonus and equity compensation opportunities

• Employee Travel Credits

• Comprehensive health, dental, and vision insurance

• Retirement savings programs

• Flexible remote work arrangement (US-eligible locations)

• Paid time off and company holidays

• Equity participation in long-term company growth

• Inclusive, collaborative, and mission-driven engineering culture

• Disability-inclusive accommodations and accessible hiring process support

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