Principal Software Engineer, Performance

🕒 April 20

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Logo of Airbnb

Airbnb

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• Define and drive Airbnb's long-term performance strategy, spanning product performance, infrastructure efficiency, and business objectives for scale and growth • Lead the architecture and development of performance profiling and instrumentation infrastructure, covering CPU, GPU, memory, request hot paths, utilization, and deployment events, making these capabilities available to all backend teams • Partner with infrastructure teams across compute, reliability, backend frameworks, and AI Infra to ensure the fleet operates at optimal utilization • Connect performance outcomes to business objectives and company-wide SLOs, and guide engineering teams in keeping the stack scalable and efficient • Evaluate emerging hardware and software technologies, engage with the external solutions ecosystem, and advise on build vs. buy decisions in areas of strategic importance • Mentor and technically uplevel engineers across the organization through design reviews, architectural guidance, and performance best practices

🎯 Requirements

• 12+ years of performance engineering experience in high-scale, high-growth production environments • Deep understanding of how software and hardware systems interact at scale, including architectural patterns for performance-critical stacks. You know the difference between a bad algorithm and a bad cache eviction policy, and you're comfortable in the kernel, in the JVM, and in a post-mortem • Strong familiarity with public cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes) • Experience with profiling and instrumentation tooling across CPU, GPU, memory, and distributed request tracing • Demonstrated ability to define performance objectives and drive delivery against company-wide SLOs across multiple organizations. • You know how to move organizations, not just codebases: you've influenced teams that don't report to you, made the case for long-term investments over short-term fixes, and mentored engineers who went on to do exceptional work • Strong communication and influence skills; comfortable driving technical direction with senior engineering and product leadership.

🏖️ Benefits

• This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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