Senior Software Engineer, Identity Intelligence (full-time contractor position)

Sift is the leader in Digital Trust & Safety, helping businesses protect themselves and their customers from fraud and abuse. We combine machine learning, behavioral analytics, and cutting-edge AI to build trust and reduce friction across the internet’s most valuable platforms.

We’re seeking a Senior Software Engineer to join our Identity Intelligence team, delivering innovative solutions that give fraud and risk teams multidimensional insights into user identities. Leveraging advanced data engineering and Sift’s Global Data Network, the team helps detect and prevent fraud with unmatched accuracy and efficiency. Identity Intelligence transforms complex global risk data into actionable profiles, accelerating confident decision-making and optimizing manual reviews for leading brands worldwide. Join a mission-driven team setting new standards in identity-centric security and AI-powered fraud prevention.

Our R&D team has 100+ engineers, including 40+ in Ukraine.

Tech stack: Java, Apache Flink, GCP (Dataflow, Spanner, BigTable, BigQuery), Kafka, DropWizard, gRPC, Snowflake

What We’re Looking For:

• 6+ years of experience building distributed backend systems with Java.
• 3+ years designing and delivering highly available services.
• Proven experience designing and maintaining scalable public APIs.
• Deep expertise with large-scale NoSQL databases (HBase, Cassandra, Bigtable, etc.).
• Strong understanding of data structures, distributed algorithms, and asynchronous architectures.
• Hands-on experience setting up, managing, and deploying cloud infrastructure (AWS/GCP).
• Background in building data-intensive applications with modern data warehouse technologies (e.g., Snowflake).
  
  

We Offer:

• Flexible hours
• Minimal meetings
• Engagement until year-end (with possible extension)
• $35–40/hour
  
  

Interview Process:

• 45 min Intro with Recruiter
• 60 min Technical assessment (coding + architecture design)
• 45 min Project deep dive
• 30 min Behavioral interview with Engineering Manager