Plaid18 дней назад
Staff Software Engineer - Protect
Зарплата не указана
РЫНОК
16 250 ₽медиана по профессии
Data Scientist · 212 вакансий с указанной зарплатой
5 000половина предложений: 13 084–21 768120 000
Работодатель не указал зарплату — сравните с рынком сами.
Полная занятостьУдалёнка
Обязанности
- 01Care deeply about the product and the value you create for our customers
- 02Learn how customers use our product and the specific fraud challenges they face; build solutions to address them
- 03Identify new frontiers in fraud detection, build focused prototypes to test the riskiest assumptions, and turn validated ideas into reliable production systems
- 04Collaborate closely with the DS/ML team
- 05Navigate our data landscape, run Jupyter notebooks and Spark jobs, or develop in Tecton to deliver business impact independently
- 06Lead the team by example on AI assisted engineering: write skills and linters, automate things, push code in unfamiliar languages, systems and repos
- 07Raise the technical bar through mentorship, design reviews, and hands-on leadership across the organization
- 08Set the technical direction for the systems that serve Trust Index scores and fraud attributes in real time
- 09Lead ambiguous, multi-quarter initiatives while staying hands-on in architecture, critical production code, data investigation, and production debugging
- 10Work closely with DSML teams, product, and fraud researchers to identify opportunities for new fraud signals and product expansions
- 11Shorten the path from a promising fraud insight to measurable customer value
- 12Iterate on Protect, from API changes to new integration modes and product modules
Требования
- 01Extensive experience, typically 8+ years, building and operating backend or distributed systems at scale
- 02Must be comfortable working hands-on directly in the codebase
- 03Strong product judgment: the ability to translate ambiguous customer problems into deliverables, make principled tradeoffs between rapid validation and durable architecture, and define measurable outcomes