• Define and deliver well-scoped milestones for projects, and may be a technical lead for projects on your team. • Lead design for small-to-medium components and participate in design for larger components, moving from task-level impact to small-to-medium project-level impact. • Have significant ownership of a component of the data infrastructure, including its reliability, performance, and developer experience. • Identify gaps and propose plans towards addressing those gaps. • Independently write code that is clear, well-tested, and appropriately flexible, reusable, and adaptable to changing requirements. • Actively level up less-experienced members of your team by helping them with their craft, providing guidance, and setting a good example. • Participate in on-call coverage.

• Take end-to-end ownership of backend services and APIs (primarily in Java), from architectural design and coding to deployment and maintenance. • Build and integrate local payment methods, affordability features (like installments), and promotional campaign logic, tailoring our systems to diverse consumer expectations. • Analyze input and health metrics (e.g., checkout conversion funnels, payment success rates) to turn data insights into actionable engineering improvements that drive GBV. • Collaborate with Finance and Product to align technical execution with Airbnb’s broader business strategy, ensuring we deliver strong business efficiency and ROI on partner campaigns. • Actively monitor product/service health, participate in on-call rotations, and proactively identify areas to reduce tech debt and improve system reliability over time. • Foster a collaborative and inclusive engineering culture, sharing knowledge, participating in code reviews, and occasionally mentoring peers

• Gestire e amministrare sistemi Linux • Collaborare con i team di progetto per esigenze specifiche • Assicurare la continuità operativa dei servizi

• Lead the design and implementation of our Kafka ecosystem, including configuration, deployment, and optimization for reliability, performance and scalability • Collaborate with stakeholders to gather requirements and define Kafka use cases and architectures that align with business objectives • Design and implement Kafka integration with other data systems and pipelines • Implement security measures to protect Kafka clusters and data, including encryption, authentication, and authorization • Establish monitoring, alerting, and logging mechanisms to ensure the health and performance of Kafka clusters, and troubleshoot issues as they arise • Provide guidance and best practices to development teams on Kafka usage, including producers, consumers, and stream processing applications • Collaborate with development teams to define Kafka topics, partitions, and configurations based on application requirements • Automate deployment, configuration, and monitoring tasks using tools like Terraform, Ansible, Puppet, or Chef • Stay up-to-date with the latest Kafka developments and best practices, and make recommendations for continuous improvement.