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Sift operates a large-scale fraud detection platform running on GCP and AWS with Kafka, Snowflake, BigQuery, and Apache Spark at its core—a heavy data and ML infrastructure suited to processing over one trillion annual events. Active hiring is concentrated in engineering (9 open roles, mostly senior-level), paired with infrastructure work on multi-region deployments, immutable infrastructure, and fault-tolerant systems; pain points around platform scalability and outage recovery align with the operational complexity of that scale.
Tech Stack 42 technologies
Core StackAWS Terraform Kubernetes Jenkins Kafka Snowflake Apache Spark Java Python CloudFormation Docker Slack Scala Salesforce PostgreSQL Redis gRPC Apache Airflow BigQuery React GCP Vault AWS ECS Bigtable Outreach LinkedIn Sales Navigator Dropwizard Spanner React Query React Router+11 more
What Sift Is Building
◆Challenges
- Removing ambiguity in large organizations
- Improving core platform scalability
- Cost-effective core system operation
- Reducing product team shipping effort
- Accelerating delivery against critical goals
- Fragmented product knowledge
- Improving retention and renewal readiness
- Maintaining high availability of large-scale systems
- Recovery from outages
- Continuous monitoring of complex infrastructure
▲Active Projects
- Implement multi-region deployments such as bigtable clusters spanning multiple regions
- Develop automated bot solutions for deployment and monitoring integrating with slack
- Design and build immutable infrastructure and fault-tolerant, multi-az/multi-region systems
- Aligning program/project goals with business goals
- Design scalable platform components
- Build new capabilities
- Maintain shared services and libraries
- Process improvement for large organizations
- Enablement initiative
- Establishing operating rhythms
Hiring Activity
20 roles · 10 in 30d
Department
Seniority
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