Senior Software Engineer, Data Platform & AI Enablement
Senior · Гибрид · Сан-Франциско, США · Английский B2
Навыки
AI-агенты
Airflow
Big Data
BigQuery
Коммуникация
Решения на данных
Data Lake
Ещё 17
Databricks
Распределённые системы
Flink
Google Cloud
Java
Kafka
Kotlin
Kubernetes
Лидерство
Machine Learning
OLAP
Ответственность за результат
Оптимизация производительности
RAG
Salesforce
Жизненный цикл разработки
Spark
О компании и продукте
Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide – including Brex, Navan, Qantas, SHEIN and many more – with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale.
Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you’re ready to do the most ambitious work of your career, join us.
We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you’re motivated by our mission and operating principles https://www.airwallex.com/us/operating-principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
Задачи
In this role, you will lead the architecture and construction of core infrastructure components, taking full ownership of technical decision-making and custom development from foundational storage to high-availability service layers
You will perform deep-dives into systems internals and performance tuning—focusing on state management, checkpointing, and exactly-once semantics—to ensure millisecond-level accuracy and reliability across 30+ global regions
A significant portion of your impact will involve developing the "Knowledge Platform" to power AI-driven products through scalable vector indexing, agentic workflows, and real-time data streaming
Beyond the initial build, you will own the full SDLC for high-performance distributed systems that process petabytes of data at a global scale
As a champion of engineering rigor, you will advocate for elite software practices and contribute to shared tooling, SDKs, and automation frameworks that enhance productivity across the entire organization
Finally, you will serve as a technical beacon and mentor for mid-level engineers, driving high-quality project delivery through meticulous design reviews and hands-on technical leadership
This is a hybrid role based in San Francisco
Требования
Experience: Have 5+ years of experience building and operating large-scale distributed systems or infrastructure platforms
First Principles Thinking: Possess a deep understanding of computer science fundamentals, including distributed systems, memory management, and networking protocols
The "Builder" Stack: Are proficient in Java, Kotlin, or Go
You should have hands-on experience (or the desire to deep-dive) into the internals of Kafka, Flink, Spark, Kubernetes, or OLAP engines
Ownership Mindset: Have a proven track record of taking 0-1 ownership of complex technical challenges, from initial design to production stability
Curiosity & Impact: Are intrinsically motivated to explore emerging tech in AI/ML infrastructure and real-time systems to create tangible business impact
Hands-on design experience in crafting data processing patterns for a modern Lakehouse architecture
Будет плюсом
Contribute to the design and development of standard framework modules, high-performance services, and client libraries for big data using tools like GCP, Databricks, BigQuery, DataProc, Kafka, Kubernetes, Spark, DataFlow, Google Cloud Storage, and Airflow
Excellent written and verbal communication skills tailored for diverse audiences (leadership, users, company-wide)
Ability to rapidly evaluate various technologies and conduct proof of concepts to drive architecture design
Experience thriving in a complex environment
APPLICANT SAFETY POLICY: FRAUD AND THIRD-PARTY RECRUITERS
To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process
All official communication will come from an @airwallex.com http://airwallex.com email address
Airwallex does not accept unsolicited resumes from search firms/recruiters
Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s)
Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary
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ГрейдSeniorвычитано из текста вакансии
Формат работыГибрид
ГеографияСан-Франциско, СШАвычитано из текста вакансии
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ashbyОсновная публикация · 2026-03-31
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