Senior Software Engineer – Fraud AI & Cloud (Hybrid)

Q2; United States; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring

Health & Wellness Benefits

Parental Leave

Volunteer Programs

Employee Recognition

Job summary

Q2 is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. You will build and evolve the systems behind fraud prevention at scale, helping protect trillions in transactions for millions of users each year.

You’ll work on real-time, cloud-native services while modernizing the production ecosystem and shaping AI-assisted engineering practices. This role emphasizes reliability, low latency, and maintainability, with opportunities to influence

Qualifications

• Strong experience building and operating production software systems.
• Deep proficiency in Python and experience 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

API design

CI/CD

Distributed systems

Collaboration

AI experimentation

Communication

Git workflows

Tools

CloudFormation

Terraform

CDK

DynamoDB

Lambda

SQS/Kinesis

C#/.NET

Python tooling

Job description

Q2 is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. You will build and evolve the systems behind fraud prevention at scale, helping protect trillions in transactions for millions of users each year.

You’ll work on real-time, cloud-native services while modernizing the production ecosystem and shaping AI-assisted engineering practices. This role emphasizes reliability, low latency, and maintainability, with opportunities to influence