Senior Software Engineer – AI-Powered Fraud Platform (Hybrid)

Q2; Cary (NC); Hybride; USD 140 000 - 180 000; Plein temps

Avantages offerts par ce poste

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring Program

Résumé du poste

Q2 in Cary, NC is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. You will build and evolve real-time fraud prevention systems powering billions in transactions, focusing on reliability, latency, and scalable cloud-native services.

You’ll influence design, tooling, and AI-assisted engineering across a large enterprise codebase. The role emphasizes Python, AWS, CI/CD, and API design, with opportunities to mentor peers and drive modernization

Qualifications

• Must have strong production software experience.
• Proficiency with Python and API development.
• Cloud architecture and infrastructure as code knowledge required.

Responsabilités

• Design, build, and operate low-latency fraud prevention services and APIs.
• Collaborate to deliver new fraud capabilities and improve production systems.
• Modernize Python services, tooling, and patterns across the fraud platform.
• Advance AI-assisted and agentic software engineering practices.
• Design and operate AWS-based cloud-native architectures (serverless/event-driven).
• Integrate with Q2’s enterprise banking platform and C#/.NET points as needed.
• Improve observability, testing, and deployment practices across production services.
• Mentor engineers and promote maintainable patterns and strong engineering practices.

Connaissances

Python

AWS

CI/CD

API design

Distributed systems

Observability

Mentoring

Formation

Bachelor's degree in Computer Science or related field

Outils

Git

Docker

Kubernetes

Terraform

Description du poste

Q2 in Cary, NC is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. You will build and evolve real-time fraud prevention systems powering billions in transactions, focusing on reliability, latency, and scalable cloud-native services.

You’ll influence design, tooling, and AI-assisted engineering across a large enterprise codebase. The role emphasizes Python, AWS, CI/CD, and API design, with opportunities to mentor peers and drive modernization