Senior Staff Operations Engineer, AIOps

Airbnb, founded in 2007, has grown to over 5 million hosts and 2 billion guest arrivals worldwide. As a Senior Staff Operations Engineer in AIOps, you will lead a high-performing team to implement AI-enabled operations solutions, streamline workflows, and ensure operational excellence across BizTech's corporate environment.

Responsibilities:

• Lead and mentor a high-performing team to scale AI-enabled operations model and deliver AIOps solutions
• Own triage and resolution, proactive monitoring across networks, systems, applications, and cloud services via a homegrown observability platform
• Drive process excellence through automation and shift-left programs
• Set the technical bar, model operational excellence, and ensure high-quality, reliable service
• Lead projects across multiple products and platforms, delivering world-class outcomes that create customer and community value while balancing near- and long-term needs
• 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
• Drive execution by setting priorities, building accountability, and collaborating effectively across teams
• Partner with BizTech engineering teams to improve service efficiency and security
• Lead 1–3 year operations architecture planning to connect production systems and improve compatibility and stability
• Identify and eliminate recurring issues through scalable automation, improving operational performance and productivity
• Lead the development and maintenance of testing and monitoring tooling to ensure automation platforms run reliably
• Be accountable for the quality and reliability of BizTech services, including validating postmortems, driving root-cause analysis, and ensuring corrective actions are implemented
• Lead technical strategy and discussions, partnering with Operations peers and cross-functional BizTech teams to build AIOps and automation solutions
• Stay on top of tasks, engagements, and team interactions—active collaboration is key to success
• Work in sprints, delivering project work across coding, testing, design, documentation, and operational readiness reviews
• Dedicate part of each day to core Operations work, triaging tickets, spotting patterns, and driving scalable fixes that improve efficiency
• Participate in an on-call rotation, leading high-severity incident response as both incident commander and operations engineer

Requirements:

• 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)