Software Engineer, Fraud Risk & Data Platforms

Q2 India; Cary (NC); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health & Wellness

Hybrid Work Opportunities

Flexible Time Off

Career Development & Mentoring

Health & Wellness Benefits

Generous parental leave

Community Volunteering & Company Phil­

Employee Peer Recognition - You Earned

Job summary

Q2 is seeking a Software Engineer on the Risk & Fraud team to build production systems that detect and prevent fraud for banks and fintechs. You will design services, APIs, and data infrastructure, owning systems end-to-end and collaborating with product managers, data scientists, and engineers.

You'll work across the stack, from data layers to front-end integrations, and contribute to reliable, scalable solutions with strong engineering fundamentals.

Qualifications

• Bachelor's degree in a relevant field or equivalent work experience.
• Proficiency in Python that is well-tested, maintainable, scalable.
• Proficiency in SQL and comfort with relational/analytical data stores.
• Proficiency in JavaScript/TypeScript and a modern framework.
• Experience implementing and maintaining CI/CD pipelines.
• Experience building cloud-native, service-oriented architectures.

Responsibilities

• Design, implement, and test software solutions with a focus on high availability and resiliency.
• Build and operate scalable data workflows and integrations with our data platform for fraud analytics and ML models.
• Work across the stack from data layers to APIs to front-end integrations.
• Own your systems end-to-end: delivery, monitoring, incident response, and iteration.
• Partner with product managers, data scientists, and engineers to translate fraud requirements into scalable solutions.
• Ensure adherence to security, confidentiality, and privacy policies and controls.
• Mentor teammates to provide technical leadership and evangelize best practices.

Skills

Python

SQL

JavaScript/TypeScript

CI/CD

Cloud-native architecture

Education

Bachelor's degree in relevant field

Tools

Docker

Kubernetes

Airflow

dbt

Job description

Q2 is seeking a Software Engineer on the Risk & Fraud team to build production systems that detect and prevent fraud for banks and fintechs. You will design services, APIs, and data infrastructure, owning systems end-to-end and collaborating with product managers, data scientists, and engineers.

You'll work across the stack, from data layers to front-end integrations, and contribute to reliable, scalable solutions with strong engineering fundamentals.