Software Engineer, Risk & Fraud Platform

Q2; Austin (TX); Hybrid; USD 110,000 - 170,000; Full time

Benefits offered by this job

Hybrid work opportunities

Flexible time off

Career development & mentoring

Health & wellness benefits

Volunteer programs

Employee recognition

Job summary

Q2 is a leading provider of digital banking and lending solutions in the U.S. and internationally, focused on empowering customers and communities. The Software Engineer will contribute to risk and fraud platforms, designing systems that detect and prevent fraud while collaborating with product, data science, and engineering teams.

You will own end-to-end services, build APIs and data infrastructure, and ensure high availability and security across the stack in a hybrid work environment.

Qualifications

• Bachelor's degree in relevant field or higher; 2+ years of related experience or equivalent work experience.
• Proficiency in Python with well-tested, scalable code.
• Proficiency in SQL and relational/analytical data stores.
• Proficiency in JavaScript/TypeScript and a modern framework such as Vue.js.
• Experience implementing and maintaining CI/CD pipelines.
• Experience building microservices in a cloud-native, service-oriented architecture.

Responsibilities

• Design, implement, and test software solutions with high availability and resiliency.
• Build and operate scalable data workflows and data pipelines supporting fraud analytics and ML models.
• Work across the stack from data layers to APIs to frontend integrations.
• Own systems end-to-end: delivery, monitoring, incident response, iteration.
• Partner with product managers, data scientists, and engineers to translate fraud/risk requirements into scalable solutions.
• Ensure adherence to security, confidentiality and privacy policies and controls.
• Mentor teammates and evangelize best practices.

Skills

Python

SQL

JavaScript/TypeScript

Education

Bachelor's degree

Tools

Docker

Kubernetes

Airflow

dbt

Job description

Q2 is a leading provider of digital banking and lending solutions in the U.S. and internationally, focused on empowering customers and communities. The Software Engineer will contribute to risk and fraud platforms, designing systems that detect and prevent fraud while collaborating with product, data science, and engineering teams.

You will own end-to-end services, build APIs and data infrastructure, and ensure high availability and security across the stack in a hybrid work environment.