Senior Software Engineer - Fraud & AI Cloud-Native

q2ebanking; Cary (NC); On-site; USD 120,000 - 190,000; Full time

Job summary

Q2 is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. You will design, build, and operate real-time, low-latency fraud prevention services and APIs that protect trillions of dollars of transactions annually.

You will modernize Python services, leverage AI-assisted approaches, and influence architectural decisions across cloud-native systems in AWS. You will collaborate with data scientists, product teams, and other engineers to bring

Qualifications

• Strong experience building and operating production software systems.
• Deep proficiency in Python and building maintainable services and APIs.
• Strong understanding of cloud architecture and experience designing systems in AWS or a comparable cloud platform.
• Experience with infrastructure as code and modern CI/CD practices.
• Experience designing distributed, event-driven, or serverless systems.
• Strong understanding of API design, system integration, reliability, and production observability.
• Ability to work effectively in large or complex enterprise codebases.
• Comfortable learning and working across technologies when the problem requires it.
• Experience with Git-based development workflows and modern Python development tooling.
• Strong analytical and problem-solving skills.
• Effective communication skills and ability to collaborate across engineering, data science, and product teams.
• Interest in using AI-powered and agentic development tools to improve software engineering workflows.

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.

Skills

Python

AWS

CI/CD

API design

Distributed systems

Git workflows

Tools

Lambda

DynamoDB

S3

CloudFormation

Terraform

CDK

Job description

Q2 is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. You will design, build, and operate real-time, low-latency fraud prevention services and APIs that protect trillions of dollars of transactions annually.

You will modernize Python services, leverage AI-assisted approaches, and influence architectural decisions across cloud-native systems in AWS. You will collaborate with data scientists, product teams, and other engineers to bring