Senior Software Engineer - Payments

🕒 Março 4

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Airbnb

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2007

👥 B2C

🛍️ Comércio Eletrônico

💰 Post-IPO Equity em 2020-12

B2C • eCommerce • Hospitality

O Airbnb é um marketplace online global que conecta pessoas em busca de hospedagem a anfitriões que oferecem opções de estadia únicas e diversas, muitas vezes em propriedades residenciais. Os usuários podem reservar espaços que vão de apartamentos de um quarto a casas inteiras e hotéis boutique. O Airbnb também oferece Experiências, permitindo que hóspedes reservem atividades oferecidas por moradores locais, proporcionando uma experiência de viagem autêntica.

Descrição

• Design and own core platform components that power AI across Airbnb Payments. • Partner with product, infra, data science, and operations to translate ambiguous requirements into robust systems with clear SLAs. • Build tooling and automation that makes AI development safer and faster. • Raise the bar on reliability, performance, and governance for models and agents in production. • Champion and support the development of novel ML systems, product integrations, and performance optimizations. • Work with cross-functional partners to identify opportunities for business impact and refine requirements for AI/ML models. • Hands-on productionize and operate AI/ML solution and pipelines at scale, including both batch and real-time use cases. • Lead, mentor, and grow an enthusiastic AI/ML culture within the organization.

🎯 Requisitos

• BE/B.tech, preferably in CS, or equivalent qualification. • 7+ years of industry experience in backend/platform engineering (or equivalent), including ownership of production systems. • Strong programming skills in Python, plus solid data engineering foundations. • Good to have experience with AI frameworks (Langraph, Strand etc), orchestration (Airflow/Kubeflow), and streaming/processing (Kafka/Spark/Ray). • Proven track record building observability for AI systems (metrics/logging/traces), with automated alerting, dashboards, and SLO management. • Experience designing model governance and safety guardrails (prompt/version control, red-teaming, policy checks, approvals). • Demonstrated ability to drive performance/cost optimizations (profiling, batching, caching, quantization, autoscaling) in high-traffic environments. • Practical familiarity with vector search/embedding pipelines (indexing strategies, consistency, reindexing, retention).

🏖️ Benefícios

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development