Senior Staff Quality Engineer

Strength in Trust OneTrust’s mission is to enable innovation through the responsible use of data and AI. We believe that ensuring data is trusted shouldn’t slow teams down—it should accelerate what’s possible. This led us to develop the first technology platform for responsible data use in 2016. Today, with AI representing the latest and most impactful expansion of data yet, OneTrust is once again redefining what responsible innovation looks like. OneTrust, the AI‑Ready Governance Platform™, unifies regulatory intelligence, automation, and connected governance workflows so businesses can continue to move at the speed of AI while ensuring good governance to prevent data misuse at scale. Trusted by thousands of organizations worldwide, OneTrust is shaping the future where trusted data becomes a transformative force for business and society. The Challenge • OneTrust is building the AI-Ready Governance Platform™ to help organizations build trust, manage risk, and use data and AI responsibly. Our platform brings together privacy automation, consent and preferences, data use governance, AI governance, tech risk and compliance, and third-party management across connected, cloud-based workflows. • As a Senior Staff Quality Engineer, you will define the quality engineering strategy that enables OneTrust to scale this platform with confidence. You will shape how we validate integrated customer journeys, protect trust-critical data and workflows, and release reliable capabilities across a broad product portfolio. This role is for an experienced technical leader who can solve significant, unique problems requiring independent judgment, evaluation of intangible factors, and the creation of methods and procedures for specialized, high-stakes initiatives. Your Mission Quality Strategy for Trust-Critical Products • Define automation architecture, quality strategy, and release-validation practices across OneTrust’s connected product portfolio. Establish how teams test end-to-end workflows that span privacy, risk, data, compliance, integrations, and customer-facing experiences. AI-First and Agent-Native Quality Engineering • Help OneTrust evolve toward an AI-native, specification-driven SDLC in which quality is designed in from discovery through production. Define practical approaches for validating AI-enabled features, AI agents, and agentic workflows—including tool use, orchestration, context management, guardrails, observability, evaluation, reliability, and safe human decision points. Quality Standards at Scale • Set organization-wide standards for coverage, pass rate, determinism, defect escape, deployment validation, production feedback, and release readiness. Turn quality signals into actionable engineering confidence across squads and product lines. Mobile, Cloud, and Integrated-System Testing • Own the strategy for mobile application testing, cloud-based test platforms, API and contract validation, and observability across distributed systems. Ensure test architecture reflects the realities of OneTrust’s global, integrated SaaS environment. You Are/Have • A hands-on quality engineering leader who can get to the bottom of the hardest automated failures across an integrated environment, identify customer and release risk, and alert the right teams. You are comfortable operating in ambiguity, improving long-running deployment and validation workflows, and setting a higher bar for engineering quality. • You are also an AI-first practitioner who uses modern tools to increase leverage without lowering standards. You know when AI or an agent can accelerate analysis and execution, when human review is required, and how to create measurable quality gates for AI-enabled software. OneTrust-Specific Impact • In this role, your work will help OneTrust deliver trusted, reliable experiences for customers who depend on our platform to govern data, privacy, risk, compliance, and AI responsibly. Your Experience Includes • Bachelors’ degree in Computer Science or Engineering or related technical or business field. • 10+ years of relevant experience working as a developer, automation engineer, or SDET. • 10+ years of experience coding in Java, with deep practical knowledge of OOP and Core Java principles. • 10+ years of full software development lifecycle experience, or 6+ years working as an automation engineer or SDET. • 8+ years of experience with Selenium for automating UI testing using BDD methodology. • 8+ years of experience with RESTAssured, Postman or similar tools for automating APIs. • 8+ years of experience working in highly automated and continuous deployment environments. • 8+ years of experience with source control tools such as GitLab or Bitbucket or GitHub. • 8+ years of experience with defect tracking systems like JIRA or ALM. • 8+ years of experience troubleshooting logs using tools like Datadog, New Relic or Splunk. • 8+ years of experience with applications deployed on cloud platforms like Azure, AWS, or GCP. • 4+ years of experience testing mobile applications using Xcode, Appium, BrowserStack or HeadSpin. • 4+ years of experience with API Contract Testing using Pact in a CI/CD paradigm. • 4+ years of hands-on experience with CI tools like Jenkins, Circle CI or GitLab CI with the ability to author test pipelines. • 8+ years of experience working with offshore teams across geographies. • 1+ year of hands-on experience using AI-assisted development and work tools such as Claude Code, Devin, Windsurf, or similar tools in a professional engineering environment. • 1+ years of hands-on experience applying AI-first practices to software quality engineering, such as AI-assisted test generation, test maintenance, failure triage, test-data creation, impact analysis, or release-risk assessment. • 1+ years of hands-on experience designing, building, testing, or operating AI agents or agentic workflows, including prompt or instruction