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Software Engineer, Fraud & Identity
Ramp — один из самых быстрорастущих финтех-единорогов с отличным пакетом льгот и высокой инженерной культурой. Работа над критически важными системами безопасности обеспечивает профессиональный рост и влияние на продукт.
Сложность вакансии
Роль требует сильных навыков в бэкенд-разработке и понимания распределенных систем. Высокая ответственность из-за работы с финансовыми рисками и фродом повышает планку для кандидатов.
Анализ зарплаты
Указанный диапазон соответствует рыночным ставкам для Senior/Middle+ инженеров в Нью-Йорке в сфере финтеха. Ramp известен конкурентными зарплатами, часто превышающими средние показатели по рынку за счет бонусов и опционов.
Сопроводительное письмо
I am writing to express my strong interest in the Software Engineer position within the Fraud & Identity team at Ramp. With over three years of experience in backend engineering and a deep focus on building resilient distributed systems, I have always admired Ramp’s commitment to high agency and its 'slope over intercept' philosophy. My background in developing data-informed decisioning systems aligns perfectly with your mission to automate and secure complex financial flows.
In my previous roles, I have focused on building scalable APIs and implementing robust observability patterns, which I believe are crucial for the high-stakes environment of fraud detection. I am particularly excited about the opportunity to work at the intersection of security and product experience, developing enforcement tools like identity locks and MFA surge detection. I am eager to bring my technical design skills to Ramp to help reduce loss and protect the 50,000+ companies that rely on your infrastructure.
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Откликнитесь в ramp уже сейчас
Присоединяйтесь к Ramp, чтобы создавать передовые системы защиты финансов и бороться с фродом в масштабах миллиардных транзакций!
Описание вакансии
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $100B in annualized spend flows in and out of 50,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
We are hiring a Software Engineer to build systems across Fraud, UIM (User & Identity Management), and Identity. This role sits at the intersection of security, risk decisioning, and product experience. You will help build detection and enforcement capabilities for fraud and account takeover, as well as the identity primitives that power authentication, authorization, and safe account access.
This work is deeply cross-functional. You will partner closely with Fraud Ops, Risk Strategy, Security, Product, and Data to ship improvements that are measurable in loss reduction, attack containment, and user experience.
What You’ll Do
- Build and evolve backend services that detect and prevent fraud across multiple surfaces, including account access and money movement.
- Develop enforcement and response tooling that enables fast, safe actions such as identity locks, business locks, payment freezes, and other containment levers.
- Improve protections against account takeover (ATO), including risk-based step-ups, monitoring, and targeted friction controls (for example “under attack” style controls and MFA surge detection/alerting).
- Design and operate high-signal systems with strong observability: metrics, dashboards, alerting, and playbooks for incidents and fraud campaigns.
- Partner with UIM/Identity stakeholders to strengthen authentication and identity foundations (roles, permissions, identity state, and related platform primitives).
- Drive end-to-end delivery: technical design, implementation, rollout strategy, and iteration based on outcome metrics.
What You’ll Need
- 3+ years of software engineering experience (or equivalent).
- Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability).
- Experience building data-informed detection or decisioning systems (rules engines, scoring, anomaly detection, or similar), or strong interest in learning in this domain.
- Proven ability to operate production systems: debugging, incident response, and improving on-call quality through instrumentation and automation.
- Strong cross-functional communication skills and comfort working with product and operations partners.
Nice to Have
- Experience in fraud, risk, identity, authentication, authorization, abuse prevention, or security engineering.
- Familiarity with payments rails, card transaction risk, or account security patterns.
- Experience building internal tools for operations teams (case management, investigation, enforcement workflows).
Benefits (for U.S.-based full-time employees)
- 100% medical, dental & vision insurance coverage for you
+ Partially covered for your dependents
+ One Medical annual membership
- 401k (including employer match on contributions made while employed by Ramp)
- Flexible PTO
- Fertility HRA (up to $10,000 per year)
- Parental Leave
- Unlimited AI token usage
- Pet insurance
- Centralized home-office equipment ordering for all employees
- Health and Wellness stipend
- In-office perks: lunch, snacks, drinks, and more
- Budget for intra-office travel
- Relocation support to NYC or SF (as needed)
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
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Навыки
- Python
- Backend Development
- Distributed Systems
- Fraud Detection Systems
- API Design
- Data Modeling
- Observability
- Authentication
- Go
- Authorization
Возможные вопросы на собеседовании
Проверка понимания архитектуры систем обнаружения фрода.
Как бы вы спроектировали систему оценки рисков в реальном времени, которая должна обрабатывать тысячи транзакций в секунду с минимальной задержкой?
Оценка опыта работы с инцидентами и надежностью.
Расскажите о самом сложном баге или инциденте в продакшене, с которым вы столкнулись. Как вы его диагностировали и какие меры приняли, чтобы это не повторилось?
Проверка знаний в области безопасности и аутентификации.
В чем разница между аутентификацией и авторизацией в контексте микросервисной архитектуры, и какие протоколы вы бы использовали для их реализации?
Оценка умения работать с данными для принятия решений.
Как вы определяете пороги для срабатывания алертов в системе мониторинга фрода, чтобы минимизировать количество ложноположительных результатов?
Проверка навыков кросс-функционального взаимодействия.
Как вы подходите к приоритизации задач, когда требования команды Fraud Ops конфликтуют с удобством пользовательского интерфейса (UX)?
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