Senior Software Engineer, Global Markets (Backend)

A Senior Software Engineer in Global Markets is expected to deliver measurable international growth impact by building scalable product capabilities across key funnel surfaces (landing → search → pre‑booking) and by improving pricing, promotions, and discounts to increase conversion and customer value across markets.

• 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.