Intermediate Software Engineer

q2ebanking; Cary (NC); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid Work Opportunities

Flexible Time Off

Health & Wellness Benefits

Parental Leave

Employee Recognition Programs

Job summary

Q2 is seeking a Software Engineer for the Risk & Fraud team in Cary, NC. You will build production systems that help detect and prevent fraud, spanning services, APIs, and data infrastructure.

You’ll own systems end-to-end, collaborate with product managers, data scientists, and engineers, and apply strong engineering fundamentals to ensure reliability and security. You will design scalable data workflows, implement resilient solutions, and contribute across the stack—from data layers to

Qualifications

• 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 maintaining CI/CD pipelines.
• Experience building applications using a cloud-native, service-oriented architecture.

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.

Skills

Python

SQL

JavaScript/TypeScript

CI/CD

Cloud-native

Data pipelines

Education

Bachelor's degree in relevant field

Tools

Docker

Kubernetes

Airflow

dbt

Snowflake

AWS data services

Job description

As passionate about our people as we are about our mission.

Why Join Q2?

Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology-and we do that by empowering our people to help create success for our customers.

What Makes Q2 Special?

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together. From company-wide volunteer days to events like our Q2 Homecoming Week-featuring learning, community service, and culture-building experiences-we create opportunities to connect, grow, and make an impact.

Our Team

The Risk & Fraud team at Q2 is responsible for helping our customers take a proactive stance against fraud and managing the risks of their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value for our customers. Our solutions enable them to focus more of their time and energy on their mission: best serving their customers and communities.

The Role

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.

Your key 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

You are more likely to excel in the role if you:

• Enjoy autonomy in your work and feel a sense of ownership in the team's goals. You work quickly but with the big picture in mind.
• Have empathy for the end user and a desire to measure your work by both the customer value and technical quality.

Requirements

Must haves

• 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 maintaining CI/CD pipelines
• Experience building applications using a cloud-native, service-oriented architecture

Nice to Have

• 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

This position requires 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.

Health & Wellness

• 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"
• Click here to find out more about the benefits we offer.

Our Culture & Commitment:

We're proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare-offering resources for physical, mental, and professional well-being.

Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back t