Senior Software Engineer
AI summary of the role
Senior Software Engineer on Q2's Digital Banking Fraud team, building and evolving real-time, cloud-native fraud prevention systems that protect nearly $2T in transactions annually.
What you’ll do
- Design, build, and operate reliable, low-latency fraud prevention services and APIs
- Modernize and standardize Python services, shared patterns, and engineering practices across the fraud platform
- Advance the team's use of AI-assisted and agentic software engineering to improve development speed and quality
- Design and operate cloud-native architectures in AWS, including serverless and event-driven systems
What you’ll bring
- Deep proficiency in Python and experience building maintainable services and APIs
- Strong experience building and operating production software systems
- Strong understanding of cloud architecture and experience designing systems in AWS or comparable cloud platform
- Experience with infrastructure as code and modern CI/CD practices
Technologies
Python · AWS · Lambda · DynamoDB · SQS · Kinesis · S3 · CloudFormation · SAM · Terraform · CDK · C#
About Q2
Cloud digital banking, lending, and risk/fraud platform for US and international banks, credit unions, alternative lenders, and fintechs.
Public · 2000–5000 people
Source and classification
Production engineering · Evidence for this classification:
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. SUMMARY Q2 is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. As part of this team, you will build and evolve the systems behind fraud prevention at scale, helping protect nearly two trillion dollars in transactions for millions of users each year. At that scale, improvements in reliability, latency, and engineering efficiency have a meaningful impact on financial institutions and their customers. You’ll work on real-time, cloud-native services while helping modernize and standardize an existing production ecosystem. This role is also an opportunity to help shape how the team uses AI and agentic engineering,
More from the 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. SUMMARY Q2 is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. As part of this team, you will build and evolve the systems behind fraud prevention at scale, helping protect nearly two trillion dollars in transactions for [... source excerpt omitted ...] iciency have a meaningful impact on financial institutions and their customers. You’ll work on real-time, cloud-native services while helping modernize and standardize an existing production ecosystem. This role is also an opportunity to help shape how the team uses AI and agentic engineering, leading by doing and finding practical ways to improve how we design, build, test, and operate software. RESPONSIBILITIES • Design, build, and operate reliable, low-latency fraud prevention services and APIs • Work individually and collaboratively to deliver new fraud capabilities and improve existing production systems • Modernize and standardize Python services, shared patterns, develop [... source excerpt omitted ...] nking platform, including navigating and modifying C#/.NET integration points when needed Improve observability, testing, deployment practices, and operational reliability across production services • Partner with data scientists, product teams, and other engineers to bring fraud detection capabilities from concept into production • Research new technologies and engineering approaches and apply them where they meaningfully improve the platform • Mentor other engineers and help establish maintainable patterns and strong engineering practices EXPERIENCE AND KNOWLEDGE • Strong experience building and operating production software systems Deep proficiency in Python and experienc
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