Senior Software Engineer (Performance Test Engineering)

About the role

Q2 is seeking an ambitious and adaptable Performance Test Engineer experienced in team-based development. As part of the Engineering Development group, you will work individually and collaboratively to develop, implement, and support custom solutions through fast-paced, dynamic projects involving components at every level of the Q2 platform. Ideal candidates are self-motivated, enjoy tinkering, and are comfortable learning rapidly while engineering solutions using a mix of open technologies and proprietary frameworks. Job Description As a Senior Software Engineer - Performance Engineering , you will play an important role in improving the scalability, performance, and reliability of Q2's digital banking platform. You will work closely with Service Delivery and engineering teams to identify performance bottlenecks, troubleshoot operational issues, and help ensure platform stability before issues impact customers. Your expertise in performance testing, scalability analysis, and system optimization across microservices and distributed components will contribute significantly to the success of the platform. Roles and Responsibilities: Design, develop, and execute performance testing strategies to identify and resolve bottlenecks at the microservice and component levels Partner with Service delivery and engineering teams to ensure scalability, reliability, and performance are incorporated throughout the software development lifecycle Analyze system architectures and recommend improvements for high availability, resilience, and optimal performance Develop, maintain, and automate performance test plans using tools such as K6, Locust, JMeter, or similar technologies Enhance performance testing frameworks to simulate production-like workloads, uncover failure points, and improve test coverage Integrate performance testing into CI/CD pipelines to establish quality gates and monitor key performance benchmarks Use observability and monitoring tools such as Grafana, Prometheus, or AppDynamics to analyze, troubleshoot, and optimize system behavior Create dashboards, metrics, and alerts to proactively detect regressions and performance issues Support resilience initiatives through chaos testing and failure simulation to validate system stability in distributed environments Collaborate with product and engineering teams to drive performance improvements based on test findings and operational insights Contribute to best practices in performance engineering by sharing knowledge, supporting team members, and promoting continuous improvement Assist in designing strategies for disaster recovery, data integrity, and system resilience to support secure, high-volume transaction processing. Qualifications and Experience Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field Typically 5+ years of experience in performance engineering, software engineering, site reliability, or related roles, with strong exposure to performance optimization and scalability of complex systems Hands-on experience identifying and isolating performance issues at the microservice and component levels Strong programming skills in Python, Golang, or Java, along with scripting experience in JavaScript, Shell, or similar languages Experience with performance testing tools such as K6, JMeter, Locust, or comparable frameworks Familiarity with cloud platforms such as AWS, Azure, or GCP, and containerized environments including Kubernetes, Docker, or Nomad Experience using observability tools such as Grafana, Prometheus, or similar platforms for monitoring and diagnostics Good understanding of microservices architectures, APIs, and distributed systems Experience working with CI/CD pipelines and automated testing ecosystems Familiarity with performance optimization across cloud, hybrid, and on-premise environment