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# Senior Software Engineer

- **Company:** Q2 Software, Inc.
- **Location:** Cary, NC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, C Sharp (Programming Language), Cloud Engineering, Continuous Integration, Programming Tools, Amazon DynamoDB, Fraud Prevention and Detection, Python (Programming Language), Software Engineering, Systems Integration, Enterprise Software Applications, Cloud Platform System, Git, Cloudformation, Event Driven Architecture, Infrastructure Automation Frameworks, Machine Learning Operations, Functional Programming, Api Design, Amazon Simple Queue Service (SQS), Terraform, Serverless Computing
- **Published:** September 5, 2026
- **Apply:** https://q2ebanking.wd5.myworkdayjobs.com/Q2/job/Cary-North-Carolina/Senior-Software-Engineer_REQ-12737

## About the Role

* Strong experience building and operating production software systems
Deep proficiency in Python and experience building maintainable services and APIs

 * Strong understanding of cloud architecture and experience designing systems in AWS or a comparable cloud platform
 * Experience with infrastructure as code and modern CI/CD practices
 * Experience designing distributed, event-driven, or serverless systems
 * Strong understanding of API design, system integration, reliability, and production observability
 * Ability to work effectively in large or complex enterprise codebases
 * Comfortable learning and working across technologies when the problem requires it
 * Experience with Git-based development workflows and modern Python development tooling
 * Strong analytical and problem-solving skills
 * Effective communication skills and ability to collaborate across engineering, data science, and product teams
 * Interest in using AI-powered and agentic development tools to improve software engineering workflows

PREFERRED

 * Experience with AWS services such as Lambda, DynamoDB, SQS, Kinesis, and S3
 * Experience with infrastructure-as-code tools such as CloudFormation, SAM, Terraform, or CDK
 * Experience modernizing or incrementally improving mature production systems

 * Experience with banking, payments, fraud prevention, or other high-volume financial systems
 * Experience integrating modern services with legacy or enterprise platforms
 * Familiarity with modern Python dependency and build tooling such as UV
 * Experience working with machine learning systems or real-time model inference

 * Experience with C#, .NET, Java, or another strongly typed enterprise application framework

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.

## Description

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, leading by doing and finding practical ways to improve how we design, build, test, and operate software., * 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, development tooling, and engineering practices across the fraud platform
 * Help advance the team's use of AI-assisted and agentic software engineering, applying new approaches to improve development speed, quality, and maintainability
 * Design and operate cloud-native architectures in AWS, including serverless and event-driven systems
 * Work within and integrate with Q2's enterprise banking 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


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