Tech Stack

Description

You will optimize the performance and operating cost of Airbnb's infrastructure by working closely with cross-functional teams, profiling and tuning large services, building distributed performance tooling, and leading load testing to minimize customer latency.

Requirements

• 10+ years of relevant performance optimization industry experience in a fast paced, high growth tech environment.
• A working knowledge of processor vectorization activation for various COTS applications.
• 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 ability to work well within a team and across engineering teams.
• Strong problem solver and solid performance debugging skills.
• Experience of load testing software either in production or through benchmarking.
• Passion for efficiency and performance.

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.