Sift

Senior Software Engineer

United States

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

Position Overview

  • Location Type: Remote
  • Employment Type: Full-Time
  • About the Team: The Account Takeover (ATO) team at Sift builds real-time solutions to detect and prevent fraudulent account takeovers. This team plays a vital role in safeguarding user accounts by monitoring fraud trends, refining detection algorithms, optimizing system latency, and swiftly addressing security escalations. Joining the ATO team offers a unique opportunity to develop cutting-edge security solutions and make a meaningful impact on online account protection.

What We Are Looking For

  • As a senior software engineer on the Account Takeover team, you will work closely with product managers, data scientists, and other software engineers to deliver various Account Takeover product features, which are at the intersection of machine learning and distributed systems.
  • Specifically, you will:
    • Build highly scalable, distributed services that can handle hundreds of millions of events per day.
    • Partner with product management to help scope and shape project requirements.
    • Implement engineering solutions to address complex customer needs at scale.
    • Collaborate with other engineers within the Account Takeover team as well as across other engineering teams.
    • Help evolve and improve our engineering practices.

Requirements

  • Experience: 5+ years of experience building distributed backend systems using Java, Scala, C#, C++, or other object-oriented languages.
  • Cloud Infrastructure: 3+ years of experience with cloud infrastructure (e.g., GCP, AWS, Azure).
  • Software Engineering Fundamentals: Strong software engineering fundamentals, including data structures, algorithms, and distributed systems, and strong debugging, testing, and problem-solving skills.
  • Database Knowledge: Solid understanding of relational and NoSQL database modeling and design.
  • Communication & Collaboration: Strong communication and collaboration skills, and a belief that team output is more important than individual output.
  • Self-Starter: You are a self-starter, with a quick learning curve.

Responsibilities

  • Build highly scalable, distributed services.
  • Partner with product management to define project requirements.
  • Implement engineering solutions for complex customer needs.
  • Collaborate with other engineers within the Account Takeover team and across other engineering teams.
  • Help evolve and improve engineering practices.
  • Mentor junior engineers on the team.

Bonus Points

  • Experience with stream processing systems such as Apache Flink, Apache Beam, Dataflow, or similar technologies.
  • Experience with HBase, BigTable, Kafka, ZooKeeper.
  • Familiarity with practical challenges in ML systems, such as feature extraction and definition, data validation, training, monitoring, and management of features and models.

About Us

Sift is the AI-powered fraud platform securing digital trust for leading global businesses. Our deep investments in machine learning and user identity, a data network scoring 1 trillion events per year, and a commitment to long-term customer success empower more than 700 customers to grow fearlessly. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com and follow us on LinkedIn.

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.

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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