• Designs and Implements complex, mission-critical transformational enterprise grade technical solutions for clients. • Develops high quality deliverables and presentations for Client engineering teams and senior leaders. • Creates and presents solution designs, options, ideas, and innovations to clients’ senior leadership teams. • Develops and Maintains Technical Roadmaps and Innovation Plans. • Develops and Implements CI/CD solutions. • Establishes project estimates and plans, identifies risks and mitigations, oversees development and delivery of technical solutions. • Mentor and support project teammates • Actively lead collaboration within our technical communities • Up to 25% travel

• Contribute across the team’s surface areas to directly move our core metrics (developer experience, developer velocity, debuggability, performance, and reliability) while reducing cost and providing new functionality to help make our team’s vision, and that of our broader org, a reality. Upcoming projects include modularizing our client observability libraries, code editor and Claude skills developer experience improvements, bundler enhancements, and improving CI debuggability. • Partner with Airbnb product teams to understand their pain points, pilot proposed solutions, and encourage adoption of tools and frameworks. • Collaborate with a wide variety of infrastructure teams as well as support product foundation teams as they build additional capabilities on top of the team’s offerings. • Participate in all phases of software development from architecture/design through implementation, testing, and on-call. • Support teammates in enabling code quality, operational excellence, and shared learning.

• Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock. • Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics. • Develop infrastructure-as-code using tools like Cloudformation, AWS CDK to ensure repeatable and secure deployments. • Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production. • Drive best practices for observability, including monitoring, alerting, and logging for AI platforms. • Contribute to the design and evolution of our AI platform to support new ML frameworks, workflows, and data types. • Stay current with new tools and technologies to recommend improvements to architecture and operations. • Integrate AI models and large language models (LLMs) into production systems to enable use cases using architectures like retrieval-augmented generation (RAG).

• Design, deploy, and operate Kubernetes clusters (EKS or self-managed) on AWS, ensuring high availability and security • Build and maintain CI/CD pipelines and internal developer tooling to improve engineering velocity • Automate infrastructure provisioning and operational tasks using Python and tools like Terraform, OpenTofu, and Ansible • Define and enforce platform standards around observability, cost management, and incident response • Partner with application teams to support containerized workloads and resolve infrastructure bottlenecks • Collaborate with Customer Success teams by providing reliable and scalable tooling that supports seamless customer onboarding, integrations, and service delivery