Tech Lead
Team: Engineering
Location: Montreal
Commitment: Full time
Workplace Type: hybrid
Responsibilities:
- Technical Leadership & Architecture
- Own the technical vision and architecture of Xsolla’s anti-fraud platform and services.
- Design scalable, resilient systems for real-time transaction risk scoring, rule engines, and decision workflows.
- Lead architectural decisions around AFS integrations, internal fraud engines, and third-party providers.
- Ensure systems meet performance, reliability, security, and compliance requirements.
- Fraud & Fintech Domain Leadership
- Translate fraud and risk requirements into robust technical solutions.
- Partner with Risk, Payments, and Compliance teams on: Transaction monitoring, Chargeback reduction, AML / KYC-adjacent workflows (where applicable), and Regulatory and scheme requirements (Visa, Mastercard, etc.)
- Evaluate and evolve fraud strategies across: Card-not-present transactions, Alternative payment methods, Digital goods and gaming-specific fraud vectors
- Engineering Execution: Lead a team of engineers (directly or as a technical lead across squads), Drive best practices in: Code quality and reviews, System observability and alerting, Secure development, and Incident response and root cause analysis
- Balance speed, risk, and quality in a high-impact domain.
- Collaboration & Influence: Work cross-functionally with Product Managers, Data Scientists, and Operations
- Mentor senior and mid-level engineers in both technical depth and domain expertise.
- Act as a technical escalation point for complex fraud-related incidents.
Qualifications & Skills:
- 8+ years of professional software engineering experience, with significant time in fintech or payments.
- Proven experience designing or leading Anti-Fraud Systems (AFS), such as: Rule engines, Risk scoring pipelines, and Decision orchestration systems
- Strong backend engineering skills (e.g., Java, Kotlin, Go, or similar).
- Experience building high-volume, low-latency distributed systems.
- Deep understanding of Event-driven architecture, APIs and integrations, Data stores used for real-time decisioning, and Domain Expertise
- Hands-on experience with fraud prevention in: Payment processing, Digital commerce or marketplaces, and Gaming or virtual goods (strong plus)
- Understanding of fraud patterns, abuse vectors, and mitigation techniques.
- Familiarity with: Chargebacks and dispute flows, 3DS, risk exemptions, and payment scheme rules, and Working with external fraud vendors and tools
- Proven ability to lead technically without relying solely on formal authority.
- Strong decision-making skills in ambiguous, high-risk domains.
- Excellent communication skills, able to explain complex technical and fraud concepts to non-technical stakeholders.
- Comfortable owning outcomes in a mission-critical area.
Nice to Have:
- Experience working with data science or ML-driven fraud models.
- Knowledge of AML, KYC, or regulatory frameworks.
- Prior experience in global payment platforms or PSPs.
- Experience operating systems at global scale (multiple regions, currencies, and regulations).
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