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Full Stack Engineer, Risk & Support
Исключительная возможность работать в одной из самых престижных финтех-компаний мира. Высокий балл за масштаб задач, сильную инженерную культуру и влияние на глобальную экономику, несмотря на отсутствие указанной зарплаты.
Сложность вакансии
Высокая сложность обусловлена строгими инженерными стандартами Stripe и необходимостью работать на стыке продуктовой разработки, безопасности и машинного обучения. Требуется опыт от 2 до 12 лет и готовность брать на себя полную ответственность за сложные системы.
Анализ зарплаты
Stripe обычно предлагает зарплаты на уровне или выше верхнего дециля рынка (Tier 1 компании). Указанный диапазон отражает рыночные стандарты для опытных Full Stack инженеров в технологических хабах США.
Сопроводительное письмо
I am writing to express my interest in the Full Stack Engineer position within the Risk & Support teams at Stripe. With extensive experience in building scalable web applications and a passion for creating seamless user experiences, I am drawn to Stripe’s mission of increasing the GDP of the internet. My background in developing robust backend systems and intuitive frontends aligns perfectly with your need for a generalist who can own problems end-to-end.
In my previous roles, I have consistently focused on data modeling and building reusable abstractions, which I see as a core requirement for this position. I am particularly excited about the opportunity to work at the intersection of machine learning and product development to mitigate financial risk. I thrive in collaborative environments and look forward to working with your cross-functional teams to uphold the high engineering standards that Stripe is known for.
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Откликнитесь в stripe уже сейчас
Присоединяйтесь к Stripe, чтобы создавать финансовую инфраструктуру будущего и защищать глобальную экономику интернета!
Описание вакансии
Who we are
About Stripe
Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.
About the teams
Risk Engineering combines machine learning and product development to reduce Stripe’s financial and regulatory risk at scale while preserving a best in class user experience. We build ML models and backend systems to detect fraud, assess users’ cash flow and financial health, and ensure compliance with regulatory and financial partner requirements, protecting Stripe’s brand and guarding against financial losses that could threaten the business. The Risk group is made up of machine learning, backend, and full-stack engineers who solve these challenges through creative product ideas, impactful models, and scalable infrastructure; we’re launching several new efforts where you can have an outsized impact on the architecture, implementation, and design of these systems.
The Support Experience engineering team designs and improves Stripe’s end-to-end support experience: how customers get help inside our products, how they contact us when they have questions, and how our teams use internal tools to respond. We own the quality and reliability of that support stack and rely on data and direct user research to drive continuous improvement. A small, distributed group of capable, user-focused engineers, we work closely with Stripe’s design, product, infrastructure, and operations teams. Delivering excellent support to customers of every size is central to Stripe’s culture.
The Support Products engineering team is building entirely new externally-facing products, leveraging Stripe’s scale and expertise to help merchants serve their customers better through Stripe. We build automations and internal tools to provide support across many different mediums (phone, email, chat, etc.). This enables businesses to focus on their core products while trusting Stripe to provide high-quality support to end users on their behalf. As an early hire, your role more closely resembles that of a founding engineer at a startup within Stripe. You’ll collaborate with peer teams and cross-functional partners to shape our product vision, build robust systems from scratch, and work directly with our early adopters to onboard them onto our products and gather feedback.
What you’ll do
- Build, operate, and improve products and tools that serve a wide range of users, from small customers to large enterprises.
- Work side-by-side with user-facing teams to understand their needs, develop short- and long-term solutions, and deploy those solutions across global, around-the-clock operations.
- Improve internal tools that empower user-facing teams to create new workflows, publish dynamic and localized content, and respond to requests with the right context for any user.
- Own problems end to end: manage complexity, engage directly with stakeholders, and consider business impact, reliability and operability, and the user experience of individual interactions.
- Uphold high standards for engineering and product quality and mentor newer team members to do the same.
- Design clear, reusable abstractions and interfaces that other engineers can easily integrate with.
- Collaborate with engineers across machine learning, data science, product, and platform teams to ensure designs meet cross-functional needs.
- Build and run systems that expose these abstractions in accessible ways for teams across the company.
- Contribute to organizational safety and resilience by helping teams think holistically about how their systems introduce or mitigate operational and business risk.
- Debug production issues across services and multiple levels of the stack.
- Improve engineering standards, tooling, and processes.
Who you are
We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.
Minimum requirements
- + 2-12+ years of industry software engineering experience (does not include internships nor includes co-ops)
+ You enjoy data modeling challenges and have a high bar for keeping your solutions expressive yet simple to use
+ Excellent written and verbal communication
+ Enjoy being a generalist working on both the frontend, backend, and anything it takes to solve problems and delight users both internally and externally
+ Thrive in a collaborative environment involving different stakeholders and subject matter experts
+ Take pride in working on projects to successful completion involving a wide variety of technologies and systems
+ Can stitch together many different services and processes together even if you have not worked with them before
+ Can put yourself in the shoes of your users and be a steward of crafting great experiences
+ Enjoy working with a diverse group of people with different expertise
+ Uphold best practices in engineering, security, and design
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Навыки
- Machine Learning
- SQL
- JavaScript
- Ruby
- React
- Distributed Systems
- Java
- API Design
- Data Modeling
- Go
Возможные вопросы на собеседовании
Stripe ценит умение создавать простые, но выразительные модели данных.
Расскажите о самом сложном вызове в моделировании данных, с которым вы столкнулись. Как вы сбалансировали гибкость системы и её производительность?
Роль предполагает работу с рисками и финансовой безопасностью.
Как вы подходите к обеспечению безопасности и отказоустойчивости при проектировании новых API или сервисов?
Вакансия требует навыков «генералиста», способного работать во всем стеке.
Опишите случай, когда вам пришлось быстро освоить совершенно новую технологию или сервис для решения критической задачи. Каков был результат?
Команда Support Products работает в режиме «стартапа внутри компании».
Как вы расставляете приоритеты между скоростью доставки фичи и техническим совершенством кода в условиях неопределенности?
Stripe уделяет большое внимание качеству взаимодействия с пользователем.
Приведите пример, когда вы внесли изменения в продукт, основываясь исключительно на обратной связи от пользователей или операционных команд.
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