Senior Staff Operations Engineer, Aiops

Airbnb Airbnb · Consumer · United States · Engineering & Technology

Senior Staff Operations Engineer role focused on scaling AI-enabled operations and delivering AIOps solutions within Airbnb's BizTech organization. The role involves leading projects, defining AIOps vision and roadmap, identifying and eliminating recurring issues through automation, and ensuring the quality and reliability of BizTech services. Requires deep expertise in enterprise infrastructure, cloud, AI/automation, and SDLC, with proficiency in Python or Go.

What you'd actually do

  1. lead and mentor a high-performing team to scale our AI-enabled operations model and deliver AIOps solutions that streamline operational workstreams and help BizTech teams focus on their core work with confidence.
  2. own the AIOps vision, strategy, and roadmap, partnering with the in-house Observability platform owner to leverage infrastructure and data for accurate, correlated insights that streamline Operations.
  3. identify and eliminate recurring issues through scalable automation, improving operational performance and productivity.
  4. be accountable for the quality and reliability of BizTech services, including validating postmortems, driving root-cause analysis, and ensuring corrective actions are implemented.

Skills

Required

  • 15+ years of experience across AIOps, data catalog architecture, product development, and/or Technical Operations infrastructure.
  • Strong SDLC experience, including infrastructure as code, configuration management, distributed version control, and CI/CD.
  • Deep expertise in complex enterprise infrastructure, especially cloud (AWS and/or Google), with a focus on AI/automation, data catalog architecture, workflows, and correlation.
  • Solid understanding of corporate infrastructure and applications to translate into AIOps requirements and integrations.
  • Proven ability to lead cross-team, cross-org delivery of large-scale, technically complex, ambiguous initiatives that anticipate business needs.
  • Proficient in Python or Go.
  • Experience building API integrations and event-driven architectures (e.g., AWS Lambda/SQS).

What the JD emphasized

  • AI-enabled operations model
  • AIOps solutions
  • AI/automation

Other signals

  • AI-enabled automation
  • AIOps solutions
  • AI/automation, data catalog architecture, workflows, and correlation