Senior Staff Software Engineer, Trust

Airbnb Airbnb · Consumer · United States · Software Engineering

Senior Staff Software Engineer on the Trust team at Airbnb, focusing on building and operating foundational systems for fraud, safety, and trust decisioning. The role emphasizes an AI-first approach, using LLM-powered agents for code generation and iteration, and requires strong backend and platform engineering skills with a focus on reliability and distributed systems.

What you'd actually do

  1. 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, and are broadly leveraged across tech organizations
  2. 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.
  3. Champion an AI-first engineering approach, using LLM-powered agents to generate and iterate on code while you focus on problem-solving, system design, and quality oversight.
  4. 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
  5. Lead and mentor engineers across teams, raising the technical bar and developing the next generation of technical leaders within the trust engineering ecosystem.

Skills

Required

  • 12+ years of backend & platform engineering designing, building, and operating mission-critical distributed systems at scale
  • 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, equally 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) to keep mission-critical systems running at the highest bar.
  • Hands-on with modern languages (e.g., Kotlin/Java/Scala)
  • comfortable evaluating and introducing new technologies including AI-assisted development workflows (LLMs, code generation)

Nice to have

  • BS, MS or Ph.D. in computer science or related field, or equivalent work experience
  • Experience building developer experience & tooling is a plus, with a mindset of treating internal developers as customers and championing self-service, documentation, and delightful DX.
  • Experience in the Trust and Risk domain is a plus.

What the JD emphasized

  • mission-critical distributed systems at scale
  • Obsessed with reliability
  • deep experience building and improving observability, SLOs, incident response, and resilience patterns

Other signals

  • AI-first engineering approach
  • LLM-powered agents to generate and iterate on code
  • AI-assisted development workflows