Senior Software Engineer

Summary

Join Sift's Account Takeover (ATO) team as a senior software engineer to build real-time solutions for detecting and preventing fraudulent account takeovers. Collaborate with product managers, data scientists, and other engineers to deliver product features at the intersection of machine learning and distributed systems. Build highly scalable, distributed services, partner with product management to scope project requirements, implement solutions for complex customer needs, and collaborate with engineers across teams. Help evolve engineering practices and mentor junior engineers. This role requires strong software engineering fundamentals, experience with distributed backend systems and cloud infrastructure, and excellent communication skills. The ideal candidate will also possess experience with stream processing systems and NoSQL databases.

Requirements

• 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

Responsibilities

• 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

Preferred Qualifications

• 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