RESPONSIBILITIES
• Design, build, and operate reliable, low-latency fraud prevention services and APIs
• Work individually and collaboratively to deliver new fraud capabilities and improve existing production systems
• Modernize and standardize Python services, shared patterns, development tooling, and engineering practices across the fraud platform
• Help advance the team’s use of AI-assisted and agentic software engineering, applying new approaches to improve development speed, quality, and maintainability
• Design and operate cloud-native architectures in AWS, including serverless and event-driven systems
• Work within and integrate with Q2’s enterprise banking platform, including navigating and modifying C#/.NET integration points when needed
Improve observability, testing, deployment practices, and operational reliability across production services
• Partner with data scientists, product teams, and other engineers to bring fraud detection capabilities from concept into production
• Research new technologies and engineering approaches and apply them where they meaningfully improve the platform
• Mentor other engineers and help establish maintainable patterns and strong engineering practices