Software Engineer - Enterprise Platform
Superblocks- Full Time
- Senior (5 to 8 years)
Candidates should possess a Bachelor's degree in computer science, math, engineering, hard science, or comparable industry experience, and demonstrate strong knowledge of data structures, distributed algorithms, and asynchronous architectures. Extensive experience with large-scale NoSQL databases such as Bigtable, HBase, or Cassandra is required, as well as familiarity with setting up, managing, and deploying to the cloud platforms like GCP.
The Software Engineer will build highly scalable, distributed services capable of handling hundreds of millions of events per day, partnering with product management to define project requirements and implementing engineering solutions to address complex customer needs at scale. They will collaborate with other engineers within the API Platform team and across other engineering teams, contributing to the evolution and improvement of engineering practices, documenting and demonstrating solutions through various methods, and maintaining good code hygiene.
Real-time fraud detection and prevention platform
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.