Principal Test Engineer – Agentic AI (Remote)
$93,000–$140,000 year
RemoteUnited States
United StatesRemoteFull Time$93,000–$140,000 yearSenior LevelLarge
Full TimeSenior LevelLarge
Job Summary
Develop AI agents for manual and automated testing to support rapid code delivery and improve defect detection. Define and maintain enterprise testing strategies across unit, integration, API, UI, regression, exploratory, performance, and risk-based testing while owning the UI automation framework for reliability and scalability. Lead technical approaches for load testing, establish quality guardrails, and guide the adoption of agentic testing practices across engineering and architecture teams. Partner with stakeholders to influence quality early in solution design and review coverage for new features.
Required Qualifications
- Bachelor degree in computer science, engineering or a related field or equivalent practical experience
- 8+ years of experience in quality assurance, software engineering, or a related field, with a strong focus on automated and manual testing strategies in high-volume environments
- Proven success using AI-assisted and agent-driven testing to improve coverage, efficiency, and quality outcomes
- Experience developing and executing enterprise test strategies across unit, integration, API, UI, regression, exploratory, performance, and risk-based testing
- Strong expertise with automation frameworks and tools including TestNG, JUnit, Selenium, API testing tools, and related quality technologies
- Experience with performance and load testing, including test design, analysis, and actionable recommendations
- Strong understanding of system architecture, integrations, and technical dependencies, with the ability to align testing to business and technical risk
- Ability to establish testing standards, best practices, and quality guardrails that improve consistency and reduce defects
- Experience mentoring engineers in effective unit and integration testing practices
- Hands-on technical leadership in test design, framework strategy, troubleshooting, and automation improvements
- Ability to collaborate with engineering, architecture, product, and business teams to influence quality throughout delivery
- Excellent written and verbal communication skills with technical and non-technical audiences
- Experience with Git and collaborative development practices
Desired Qualifications
- Experience supporting quality engineering in SaaS, cloud, or distributed application environments
- Proficiency in Java, Python, XML, or similar technologies used in test automation
- Knowledge of object-oriented programming and automation framework design
- Experience evaluating and implementing new testing tools, frameworks, and practices
- Familiarity with API testing, performance testing, and broader quality governance
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