Senior Software Engineer

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.

• Mentor junior engineers on the team

What would make you a strong fit

• 5+ years experience building distributed backend systems using Java, Scala, C#, C++, or other object-oriented languages

• 3+ years experience with cloud infrastructure (e.g. GCP, AWS, Azure)

• Strong software engineering fundamentals, including data structures, algorithms, and distributed systems, and strong debugging, testing, and problem-solving skills.

• Solid understanding of relational and NoSQL database modelling and design

• Strong communication & collaboration skills, and a belief that team output is more important than individual output

• You are a self-starter, with a quick learning curve.

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.

A little 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.