Plaid4 days ago

Staff Software Engineer - Protect

Salary not specified

MARKET

15,900 ₽median for this role

Data Scientist · 115 jobs with disclosed pay

5,000half of the offers: 12,796–20,50043,793

The employer didn't disclose pay — compare with the market yourself.

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Responsibilities

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

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