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Engineering Lead, KYC (Relocation to Singapore)
Отличная позиция в быстрорастущем финтех-единороге с оценкой в $8 млрд. Предложение включает релокацию в Сингапур, работу с современным стеком технологий и возможность реально влиять на продукт, что делает вакансию крайне привлекательной для амбициозных лидеров.
Сложность вакансии
Высокая сложность обусловлена необходимостью сочетать глубокие технические знания (Kotlin/Java/React) с навыками лидерства и опытом в специфической области KYC/Risk. Релокация в Сингапур также предполагает высокие стандарты отбора и конкуренцию на международном уровне.
Анализ зарплаты
Зарплата для Engineering Lead в Сингапуре значительно выше средней по рынку РФ и сопоставима с топовыми технологическими хабами мира. Указанный диапазон отражает рыночные реалии для опытных специалистов в секторе финтеха в данном регионе.
Сопроводительное письмо
I am writing to express my strong interest in the Engineering Lead position for the KYC team at Airwallex. With over five years of experience in software engineering and a proven track record of building scalable backend systems using Kotlin and Java, I am excited about the opportunity to drive operational excellence and automate complex onboarding processes for a global payments leader.
In my previous roles, I have successfully led technical projects that integrated AI-driven risk detection and streamlined internal workflows, which aligns perfectly with Airwallex's mission to optimize KYC operations. I am particularly drawn to your "founder-like energy" culture and am eager to bring my expertise in building robust automation tools to your Singapore-based team while mentoring junior engineers to achieve technical excellence.
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Откликнитесь в airwallex уже сейчас
Присоединяйтесь к Airwallex в Сингапуре и возглавьте разработку инновационных KYC-решений для глобального финтеха!
Описание вакансии
About Airwallex
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 200,000 businesses worldwide – including Brex, Rippling, 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 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 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.
Attributes We Value
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. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor.
You're humble and collaborative; turn zero‑to‑one ideas into real products, and you “get stuff done” end-to-end. You use AI to work smarter and solve problems faster. Here, you’ll tackle complex, high‑visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let’s build what’s next.
About the team
The KYC team focuses on driving operational excellence by automating and optimizing processes for Airwallex’s internal ops teams. We build tools and systems to streamline user onboarding and registration approval, predict and mitigate user risk (including blocking malicious users), and leverage AI and automation to enhance the efficiency of our internal operations.
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What you’ll do
As an Engineering Lead in the KYC team, you will play a key role in developing and optimizing critical systems and tools to improve user onboarding, automate manual operations, and enhance risk detection. You will work closely with product, operations, and engineering peers to deliver impactful technical solutions at scale. We are looking for someone with the potential to mentor and guide others as the team grows.
This role is based in "Singapore".
Responsibilities:
- Design, build, and maintain scalable automation tools and systems that improve internal operational efficiency and customer onboarding experience.
- Develop and implement AI and data-driven solutions to predict user risks and prevent fraudulent/malicious activities.
- Collaborate with stakeholders (product managers, operations, compliance, and other engineering teams) to define requirements and deliver impactful solutions.
- Participate in architectural discussions and code reviews, contributing to high-quality engineering standards.
- Continuously improve system reliability, performance, and scalability.
- Serve as a technical role model for junior team members and support their technical growth when needed.
Who you are
We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory.
Minimum qualifications:
- Bachelor’s degree in Computer Science or related fields.
- At least 5 + years of software engineering experience.
- Strong ability to quickly understand complex business processes and propose effective technical solutions.
- Excellent organizational and communication skills, with proven ability to collaborate across different teams and stakeholders.
- Solid software engineering skills, with experience in backend or frontend development using Kotlin/Java/React/Type script.
- Hands-on experience in building scalable, robust automation or workflow systems.
- Self-driven and proactive in identifying problems and driving improvements.
Preferred qualifications:
- At least 1+ year of experience leading or mentoring engineers, ideally as a team lead or project lead.
- Experience applying AI or machine learning techniques to solve real-world problems, especially in automation or risk detection scenarios.
- Familiarity with commonly used automation and workflow tools in cloud environments (e.g., AWS, GCP, Kubernetes, CI/CD pipelines).
- Experience mentoring or guiding junior engineers in a technical capacity.
- Previous experience working in fintech, payments, or a fast-paced startup environment.
- Familiarity with compliance, risk control, or onboarding related business domains is a plus.
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 email address. Please apply only through careers.airwallex.com or our official LinkedIn page.
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.
Equal opportunity
Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don’t regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
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Навыки
- TypeScript
- AWS
- GCP
- Machine Learning
- Kubernetes
- CI/CD
- Microservices
- React
- Kotlin
- Java
Возможные вопросы на собеседовании
Проверка опыта проектирования сложных систем, что критично для роли Lead.
Расскажите о самой сложной архитектурной проблеме, которую вы решили при создании автоматизированных систем. Как вы обеспечили масштабируемость?
KYC напрямую связан с безопасностью и комплаенсом.
Как бы вы спроектировали систему обнаружения рисков, которая минимизирует количество ложноположительных результатов, не замедляя процесс онбординга пользователей?
Роль предполагает наставничество и управление командой.
Опишите ситуацию, когда вам нужно было направить менее опытного инженера, который принял неверное техническое решение. Как вы справились с этим?
В описании упомянуто использование ИИ для повышения эффективности.
Каков ваш практический опыт внедрения ML-моделей или AI-инструментов в существующие бизнес-процессы или рабочие циклы разработки?
Проверка умения работать с бизнес-метриками и стейкхолдерами.
Как вы расставляете приоритеты между техническим долгом и внедрением новых фич для операционной команды в условиях быстрорастущего стартапа?
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