Software Engineer, Cloud-Native Fraud & Risk

Q2; Cary (AR); Hybrid; USD 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid Work

Flexible Time Off

Career Development & Mentoring

Health & Wellness Benefits

Volunteering & Philanthropy Programs

Employee Recognition

Job summary

Q2 is a leading provider of digital banking and lending solutions helping banks, credit unions, and fintechs across the U.S. We design cloud-native, data-driven services within the Fraud Intelligence Platform to combat fraud and enable customers to focus on their mission.

You will work closely with engineers to deliver reliable software, gradually taking on more responsibility as you gain experience across the stack in a production environment.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
• Proficiency in Python, SQL, and JavaScript.
• Web development experience with Vue, Angular, or React.
• Understanding of full software development life cycle.
• Strong analytical and written/verbal communication.
• Experience using AWS-native service architecture (RDS, Lambda, IAM, S3, EKS).
• Must be fluent in English.
• Authorized to work in the U.S. without visa sponsorship.

Responsibilities

• Design, implement, test, and operate backend components and frontend pages.
• Create, integrate, and test software solutions of moderate complexity.
• Support, maintain, and resolve production issues.
• Ensure adherence to security, confidentiality and privacy policies and controls.

Skills

Python

SQL

JavaScript

Front-end frameworks

Education

Bachelor’s degree in Computer Science, Information Systems, or equivalent experience

Tools

AWS services (RDS, Lambda, IAM, S3, EKS)

Job description

Q2 is a leading provider of digital banking and lending solutions helping banks, credit unions, and fintechs across the U.S. We design cloud-native, data-driven services within the Fraud Intelligence Platform to combat fraud and enable customers to focus on their mission.

You will work closely with engineers to deliver reliable software, gradually taking on more responsibility as you gain experience across the stack in a production environment.