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Senior Software Engineer, Global Markets (Backend)

Rol remoto de Software Engineering con fit claro de ubicación del candidato.

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Señal de senioritySenior

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China

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Match de stackJava, JavaScript

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Aplicando aSenior Software Engineer, Global Markets (Backend)Airbnb

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Partner with PM/Design/Data Science to clarify goals, requirements, constraints, and success metrics, and translate them into a sequenced technical plan.
Write or review technical designs, align tradeoffs, and coordinate dependencies with partner teams across regions.
Build production code and services with a high quality bar: testing, documentation, instrumentation, and performance/reliability considerations.
Run design and code reviews, advise engineers, and help drive consistent engineering standards across the team.
Own delivery: track execution risks, provide stakeholder updates, coordinate launches (including localization/market rollout), and monitor post-launch results to iterate quickly.

Fluency in English is required. Japanese or Korean working proficiency is a plus .
6+ years of hands-on software engineering experience, with a strong track record shipping production systems.
Solid understanding of large-scale backend architecture and distributed systems patterns (e.g., well-designed APIs, scalable data models, high-throughput services/pipelines, and performance-aware algorithms).
Proven ability to drive ambiguous problems to resolution: break down open-ended requirements, propose pragmatic solutions, and execute independently while keeping stakeholders aligned.
Strong programming skills in one or more of the following: Java, Kotlin, Python, Ruby/Ruby on Rails, JavaScript/TypeScript, with experience building and operating backend services.
High engineering quality bar: you write clean, testable, maintainable code, and you design with reliability, observability, and operational readiness in mind.
You actively raise the team’s technical bar through thoughtful code reviews, architecture discussions, and sharing best practices that improve overall team productivity.
Data-informed decision making: you use metrics and experimentation to validate impact, diagnose issues, and iterate toward better outcomes—recognizing that small improvements in these flows can drive meaningful business results.
Strong collaboration and communication skills: you work effectively across engineering teams and with Product, Design, and Data partners in a global environment.

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