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SEON is a fraud prevention and AML compliance platform serving thousands of companies globally, including Revolut, Wise, and Bilt. The platform uses 900+ real-time data signals to enrich customer profiles, flag suspicious behavior, and streamline compliance workflows.
As Staff Software Architect, you will report to the Director of Engineering and embed with the Customer Platform and Scoring engineering teams. You'll shape the technical vision and define feasibility during product research, working on architectural challenges including multi-tenant isolation, third-party data vendor integration within cost and latency constraints, low-latency rule and model evaluation, application scaling, and privacy/consent compliance.
Key responsibilities include:
- Embed with up to three engineering teams (Customer Platform and Scoring) to ensure technical designs align with architectural best practices, are pragmatic, and complete
- Ensure security, scalability, and compliance are foundational to all technical designs
- Collaborate with Tech Leads and Product Managers to identify solutions to business problems
- Deliver proof-of-concept solutions to demonstrate technical directions
- Support estimation during initiative planning
- Contribute hands-on work when needed
- Mentor engineers within the teams to elevate engineering standards
- Surface recurring architectural challenges to the centralized Architecture team
- Document design decisions via Architecture Decision Records
- Own the design of interfaces between teams to prevent breaking changes
- Support revenue organization and customers during technical challenges like high-load events
Requirements:
- Strong working knowledge of TypeScript, Java, and Python
- Experience with distributed system design
- Experience designing and scaling high-throughput, low-latency distributed systems
- Strong understanding of web services and SaaS applications
- Experience designing multi-tenant SaaS platforms (tenant isolation, provisioning, configuration management)
- Experience integrating third-party data providers and APIs, designing around cost/latency/reliability constraints
- Experience with real-time decisioning systems (rules engines, feature computation, ML model serving)
- Expertise with Amazon Web Services (AWS)
- Experience with relational databases (PostgreSQL or YugabyteDB)
- Experience with modern DevOps tools (Kubernetes, Terraform, ArgoCD)
- Strong understanding of data security best practices and GDPR compliance
- Strong organizational skills and ability to work with technical and non-technical stakeholders
- Experience using AI tools to improve engineering practices
- Ability to work independently and prioritize workload
- Excellent written and verbal English communication
Nice-to-have:
- Familiarity with fraud prevention, AML, KYC, or cybersecurity domains
- Experience with Kafka and Flink
- Experience with analytical/columnar databases (ClickHouse)
- Experience with Elasticsearch
