Senior Staff Software Engineer leads Trust Platform vision, architecture, and development for fraud/safety systems at scale. Requires 12+ years backend experience, reliability expertise, and cross-team collaboration using modern languages and AI tools.
248k – 310k/yr
Remote12+ YOEBackend Engineering
About the role
Responsibilities
Define and execute the long-term vision and strategy for the Trust Platform, driving the architectural direction for foundational systems that enable scalable, high-quality fraud, safety, and trust decisioning across Airbnb.
Dive deep into Trust Platform components, build system and performance tooling, and identify cross-cutting opportunities to elevate technical quality, operational excellence, and developer delight.
Champion an AI-first engineering approach, using LLM-powered agents to generate and iterate on code while focusing on problem-solving, system design, and quality oversight.
Partner with technical leaders, product managers, operations, data scientists, and Trust defense & ML teams to define and drive platform capabilities, tackle evolving fraud threats, and deliver measurable business impact.
Lead and mentor engineers across teams, raising the technical bar and developing the next generation of technical leaders within the trust engineering ecosystem.
Requirements
12+ years of backend & platform engineering designing, building, and operating mission-critical distributed systems at scale.
BS, MS or Ph.D. in computer science or related field, or equivalent work experience.
Proven experience guiding multi-year technical roadmaps: aligning long-term platform vision with day-to-day execution across multiple sub-teams, prototyping to iterate on ideas, and influencing without relying on formal authority.
Exceptional communication skills, effective white-boarding with senior ICs, partnering with cross-functional leads (Product, Design, Data Science), and presenting strategy to executives and the broader engineering community.
Obsessed with reliability: deep experience building and improving observability, SLOs, incident response, and resilience patterns (circuit breakers, graceful degradation, chaos testing).
Hands-on with modern languages (e.g., Kotlin, Java, Scala) and comfortable evaluating and introducing new technologies including AI-assisted development workflows (LLMs, code generation).
Nice-to-Haves
Experience building developer experience & tooling, with a mindset of treating internal developers as customers and championing self-service, documentation, and delightful DX.
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