Sift

Senior Software Engineer

United States

Sift Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Cybersecurity, Fraud Prevention, Security SolutionsIndustries

Requirements

Candidates should possess at least 5 years of experience building distributed backend systems using Java, Scala, C#, C++, or other object-oriented languages, along with 3+ years of experience with cloud infrastructure such as GCP, AWS, or Azure. Strong software engineering fundamentals, including data structures, algorithms, and distributed systems, and solid debugging, testing, and problem-solving skills are also required.

Responsibilities

As a Senior Software Engineer, you will build highly scalable, distributed services to handle hundreds of millions of events per day, partner with product management to scope and shape project requirements, implement engineering solutions to address complex customer needs at scale, collaborate with other engineers within the Account Takeover team and across other engineering teams, and help evolve and improve engineering practices. You will also mentor junior engineers on the team.

Skills

Java
Scala
C#
C++
Object-Oriented Programming
Distributed Systems
Cloud Infrastructure
GCP
AWS
Azure
Data Structures
Algorithms
Relational Databases
NoSQL
Debugging
Testing
Problem-Solving
Communication
Collaboration

Sift

Real-time fraud detection and prevention platform

About Sift

Sift provides a platform focused on detecting and preventing online fraud in real-time, catering to clients in e-commerce, fintech, and digital marketplaces. The platform uses machine learning and artificial intelligence to analyze large datasets, allowing it to identify fraudulent activities effectively. One of its standout features is dynamic friction, which ensures that genuine users have a smooth experience while preventing fraudsters from accessing services. Sift's business model is subscription-based, with fees that depend on transaction volume and service level. Additionally, Sift offers services like chargeback management and dispute resolution, which add further value to its offerings. The company's goal is to enhance digital trust and safety for businesses by providing tools that help them make informed decisions and protect against fraud.

Key Metrics

Bristol, United KingdomHeadquarters
2011Year Founded
$4.4MTotal Funding
SERIES_ACompany Stage
AI & Machine Learning, Financial ServicesIndustries
51-200Employees

Risks

Rise of app-enabled friendly fraud challenges Sift's mobile fraud detection capabilities.
Reliance on third-party delivery apps by QSRs introduces new fraud risks for Sift.
Complex payment processes may complicate Sift's integration and effectiveness in fraud prevention.

Differentiation

Sift offers a comprehensive platform for real-time online fraud detection and prevention.
The company uses machine learning and AI to analyze vast amounts of data effectively.
Sift's dynamic friction feature ensures seamless user experience while blocking fraudsters.

Upsides

Growing demand for AI-driven fraud detection in QSRs presents expansion opportunities for Sift.
Digital-first banks' need for effective authentication aligns with Sift's fraud prevention solutions.
Global trend towards secure payment systems supports Sift's mission for digital trust and safety.

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