• Develop new applications and services for our cloud platform ecosystem that solve real business and operational challenges • Code, test, and deploy frequently — we practice continuous integration and delivery to ship value quickly and reliably • Collaborate upstream with open-source communities to contribute improvements back where possible • Automate everything using modern frameworks (Ansible, Terraform, etc.) to reduce manual work and increase repeatability • Build tools that improve operational efficiency and raise the quality of service for customers and internal users.

• Build interactive Power BI dashboards that visualize cloud infrastructure metrics in clear, meaningful ways • Monitor and display hardware health and performance data to help the team identify issues early • Track and report cloud cost trends, usage patterns, and areas of high consumption • Set up threshold alerts and key performance indicators (KPIs) to support real‑time operational monitoring • Work closely with IT and Cloud Infrastructure team members to gather requirements and enhance existing reporting tools

• Support the day-to-day operations, security, and performance of AWS cloud infrastructure • Manage enterprise-level workload scheduling and automation through Tivoli/IBM Workload Scheduler (TWS/IWS) • Ensure reliable execution of automated job scheduling workflows using TWS • Monitor and remediate security findings using tools such as AWS Security Hub. • Triage, diagnose, and resolve incidents involving AWS infrastructure and scheduled batches. • Implement auto-scaling, scheduling adjustments, or script improvements to improve performance and control costs. • Maintain, test, and document backup and disaster recovery strategies for AWS resources and TWS databases.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Senior Software Engineer on the AI Compute team, your role is to serve as the technical leader, overseeing the entire lifecycle of Airbnb’s Kubernetes-based GPU platform. You will be instrumental in boosting the efficiency and effectiveness of the Cloud Infrastructure organization by significantly enhancing all facets of the Machine Learning (ML) engineering experience. This platform is the critical foundation that supports all AI Compute features related to security, networking, developer experience, and operational efficiency. Your team will provide the reliability, scalability, security, and developer experience necessary for ML teams to deliver first-class experiences to Airbnb Guests and Hosts around the world. - Provide technical leadership on high-impact projects - Influence and coach a distributed team of engineers - Drive reliability, cost efficiency and capability enhancements for GPU fleet - Facilitate cross-team alignment on goals, outcomes, and timelines - Manage project priorities, deadlines, and deliverables - Contribute to and execute the multi-year strategy for Airbnb’s AI Compute Platform - Design, develop, test, deploy, maintain, and enhance the Airbnb AI Compute Platform Qualifications - BS, MS or Ph.D. in computer science or related field, or equivalent work experience - 5+ years of relevant work experience in infrastructure - 2+ years of expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2) - Experience setting technical direction, planning, and successfully executing on large projects spanning multiple teams - Kubernetes Experience is required - ML Infrastructure (LLM fundamentals, tuning, optimization) Experience is preferred - Passionate about efficiency, availability, quality and developer experience Requirements - This position is US - Remote Eligible - The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager - You must live in a state where Airbnb, Inc. has a registered entity Benefits - Base pay range: $191,000 — $225,000 USD - This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits Company Description 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. At Airbnb, our mission is to create a world where anyone can belong anywhere. The AI Compute team is responsible for delivering and operating the GPU platform and infrastructure that powers AI at Airbnb. Airbnb is a member of the Cloud Native Compute Foundation’s end user community and regularly meets with peer companies to discuss cloud native engineering challenges at scale.