Sift operates a fraud-detection platform built on Python, Java, and Kafka, ingesting behavioral signals across payment, account, and content-abuse vectors. The tech stack reflects a data-intensive operation: Snowflake for analytics, Spark for batch processing, GCP/AWS for multi-region deployments, and Kubernetes for orchestration. Current hiring skews engineering-heavy (7 of 20 open roles), with active projects around multi-region infrastructure and bot-detection automation—indicating infrastructure scaling and operational complexity rather than feature velocity.
Sift provides fraud prevention and digital-trust services to mid-market and enterprise companies processing digital transactions, account creation, and marketplace activity. The company operates a machine-learning platform backed by behavioral data collected across a global network, using that data to score fraud risk in real time. Founded in 2011 and headquartered in San Francisco, Sift employs 201–500 people across engineering, support, legal, HR, and finance functions. The organization is actively hiring across the United States, Ukraine, Poland, and Ireland.
Core stack: Python, Java, SQL, JavaScript/React. Data: Kafka, Snowflake, Spark, Bigtable. Infrastructure: GCP, AWS, Kubernetes, Terraform, Docker. DevOps: Jenkins, GitHub, Vault. Salesforce for CRM; Zuora newly adopted for billing.
Yes. 7 of 20 active roles are engineering (mid-level and senior). Openings span the United States, Ukraine, Poland, and Ireland. Hiring velocity is accelerating.
San Francisco, California. The company was founded in 2011 and currently employs 201–500 people. It is privately held.
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