Senior Quality Engineer – AI-Driven Testing

InnoWave•Fairfax, VA

1d•Hybrid

About The Position

At InnoWave, we're advancing Quality Engineering through intelligent automation, AI-powered testing, and modern engineering practices. We're looking for a Senior Quality Engineer to drive quality across complex cloud applications, accelerate software delivery, and help shape the future of AI-enabled testing. This is a hybrid role based in Denver, Colorado.

Requirements

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field
5+ years of experience in Quality Engineering, Test Automation, or Software Quality Assurance
Strong experience with UI and API automation using Selenium, Playwright, REST Assured, Postman, or similar frameworks
Experience with SQL and NoSQL database validation
Hands-on experience with performance testing using JMeter or equivalent tools
Strong understanding of CI/CD pipelines, Agile methodologies, and modern software delivery practices
Experience testing cloud-native applications, microservices, APIs, and distributed systems
Hands-on experience with Jira and test management platforms
Experience applying AI technologies to software testing and engineering productivity
Excellent analytical, troubleshooting, and problem-solving skills
Strong communication skills with the ability to present quality metrics and release readiness to technical and business stakeholders
Experience collaborating with distributed and cross-functional teams
Passion for mentoring engineers and driving quality best practices
Fluent in English, both written and spoken

Responsibilities

Design and execute test strategies across UI, API, database, integration, regression, contract, and end-to-end testing
Build, maintain, and optimize automated test frameworks using Selenium, Playwright, Postman, REST Assured, and modern testing tools
Perform performance and load testing using JMeter to validate scalability and reliability
Partner with Security Engineering to support application security testing
Leverage AI-powered tools such as Claude, GitHub Copilot, and BrowserStack to generate, optimize, and maintain test assets
Apply AI-driven techniques including intelligent test selection, self-healing automation, log analysis, and defect clustering
Evaluate emerging AI testing technologies and recommend adoption based on technical and business value
Configure Jira quality workflows, test management integrations, automation rules, and traceability
Build executive dashboards that track automation coverage, quality metrics, release readiness, defect trends, and MTTR
Deliver release readiness reports and provide go/no-go recommendations to engineering leadership
Drive quality practices across onshore and offshore teams while mentoring engineers through pair testing, code reviews, and knowledge sharing
Partner with Engineering, Product, DevOps, and PMO teams to embed quality throughout the software development lifecycle
Champion a culture of continuous improvement, automation, and engineering excellence