Intermediate Software Engineer

Q2 Software • Cary, TX

23h • Hybrid

About The Position

As a Software Engineer on the Risk & Fraud team, you will be embedded on a team building production systems that directly impact our customers' ability to detect and prevent fraud. You'll work across the stack — designing and implementing services, APIs, and the data infrastructure that powers our fraud models, agents, and user-facing products. You'll take ownership of systems end-to-end, work cross-functionally with product managers, data scientists, and engineers, and bring strong engineering fundamentals to a domain where reliability and correctness genuinely matter.

Requirements

• Typically requires a Bachelor's degree in relevant field and a minimum of 2 years of related experience; or an advanced degree; or equivalent work experience
• Proficiency in Python — well-tested, maintainable, scalable code
• Proficiency in SQL and comfort with relational and/or analytical data stores
• Proficiency in JavaScript/TypeScript and a modern framework (Vue.js or similar)
• Experience implementing and maintain CI/CD pipelines
• Experience building applications using a cloud-native, service-oriented architecture
• Fluent written and oral communication in English.
• Applicants must be authorized to work for any employer in the U.S.
• We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Nice To Haves

• Experience with data pipeline tools (airflow, dbt) or cloud data platforms (Snowflake, AWS data services)
• Exposure to data modeling, transformation, or orchestration concepts
• Experience with containerization (Docker, Kubernetes) or infrastructure as code

Responsibilities

• Design, implement, and test software solutions with a focus on high availability and resiliency
• Build and operate scalable data workflows, including data pipelines, transformations and integrations with our data platform, that support fraud analytics and machine learning models
• Work across the stack as needed — 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 and risk requirements into scalable solutions
• Ensure adherence to all security, confidentiality and privacy policies and controls.
• Assist and mentor teammates to provide technical leadership and evangelize best practices

Benefits

• Hybrid Work Opportunities
• Flexible Time Off
• Career Development & Mentoring Programs
• Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
• Community Volunteering & Company Philanthropy Programs
• Employee Peer Recognition Programs – “You Earned it”

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level