Staff Software Engineer, Performance

About the position

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Infrastructure Performance team's charter is to optimize performance across the fleet and throughout the backend stack. The scope of infrastructure systems the Performance Team work on includes: K8s services, Observability infra, Data pipelines, ML infrastructure etc. each requiring different skills.

Responsibilities

• Work closely with cost and performance cross-functional partners and engineers across all teams at Airbnb to optimize the performance and the operating cost of our infrastructure.
• Work with our largest services to optimize their performance through profiling, analysis and tuning.
• Build distributed performance tooling to constantly collect performance data and develop automation to surface performance bottlenecks.
• Lead continuous load testing in production to determine performance bottlenecks and vulnerabilities of airbnb.com.
• Work on production performance issues to minimize latency for our customers.
• Work to modernize Airbnb’s software stack touching every layer.
• Build infrastructure to deploy the latest hardware to our AWS Kubernetes clusters in order to minimize their footprint.

Requirements

• 10+ years of relevant performance optimization industry experience in a fast paced, high growth tech environment.
• Deep software tuning and optimization experience, Java preferred but other major languages such as C++ acceptable.
• Expertise in using metrics to uncover performance issues.
• Familiarity with system hardware as it pertains to performance.
• Familiarity with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2).
• Familiarity with container and orchestration technologies such as Docker and Kubernetes.
• Excellent communication skills and the ability to work well within a team and across engineering teams.
• Strong problem solver with solid performance debugging skills.
• Experience of load testing software either in production or through benchmarking.
• Passionate about efficiency and performance.

Benefits

• Base pay range of $204,000—$255,000 USD.
• Bonus eligibility.
• Equity options.
• Employee Travel Credits.