Q2 Software, Inc.

Senior Software Engineer building reliable, low-latency, cloud-native fraud prevention services that protect high-volume financial transactions. The role focuses on modernizing Python systems, improving AWS operations, and advancing practical AI-assisted engineering workflows.

Senior Machine Learning Engineer building production-ready AI capabilities, backend services, evaluation frameworks, and agentic workflows for financial technology products. The role spans machine learning, backend engineering, cloud infrastructure, and enterprise AI delivery.

Join Q2’s Risk & Fraud team as a Software Engineer building and operating cloud-native, data-driven services for its Fraud Intelligence Platform. This production-focused role offers the opportunity to grow across the stack while developing reliable fraud technology.

Build and operate production machine learning systems that power real-time fraud detection at massive scale. This applied role spans model deployment, evaluation, monitoring, and optimization while partnering with data scientists, engineers, and customers.

Senior Observability Systems Engineer responsible for designing, tuning, and scaling observability platforms and telemetry pipelines across cloud and on-premises infrastructure. The role improves reliability through monitoring, incident response, root cause analysis, automation, and technical mentorship.

Senior Observability Automation Engineer responsible for building enterprise-scale observability, telemetry, and automated issue-detection systems that improve reliability across the organization. The role combines architecture, full-stack implementation, AI platform extension, and operational ownership.

Own enterprise-scale observability automation that helps Q2 detect and resolve customer-impacting problems faster. This principal role spans architecture, full-stack development, AI-powered issue detection, platform modernization, and technical mentorship.

Lead Quality Assurance Engineer responsible for driving software quality across web and mobile banking products, including test planning, execution, automation, defect management, and reporting. The role also leads quality initiatives involving AI and collaborates closely with technical and business stakeholders.