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Sr. Quality Assurance Engineer

Brazil, Sao Paulo · Job Posted February 16, 2026
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Job Description

The Software QA Engineer II role at Uber, provides an advanced opportunity to lead global testing initiatives and drive quality excellence across complex features and products. Working closely with quality advocate peers, automation engineers, and cross-functional teams, you will ensure that Uber's Delivery products are released with the highest quality standards. You will take ownership of end-to-end test strategy, risk management, and process improvements, leveraging your expertise to enhance quality frameworks, improve testing efficiency, and mentor team members.

Job Responsibility

  • Lead end-to-end test design, execution, and maintenance of new features within the UberEats space, collaborating with US-based product/engineering teams and offshore/onshore testing vendors
  • Leading software migration testing efforts
  • Act as a senior point of contact and strategic advisor between cross-functional teams and offshore testers, driving quality and accountability
  • Implement flexible and scalable processes to ensure efficient workflow across teams, aligning with larger organizational goals
  • Establish and manage comprehensive regression testing strategies to guarantee the integrity of existing features
  • Proactively identify quality gaps and recommend technical, process, and tooling improvements to strengthen the quality ecosystem
  • Communicate testing issues, propose data-driven solutions, and drive resolutions
  • Oversee offshore bug management teams, ensuring thorough bug triage and prompt resolutions
  • Collaborate closely with Release Management to ensure timely and high-quality releases of apps and features
  • Translate complex Product/Engineering requirements into detailed test flows and test cases for effective coverage
  • Lead and oversee multiple testing efforts simultaneously, coordinating work distribution, tracking parallel projects, and ensuring timely completion
  • Mentor and coach team members, fostering subject matter expertise in testing practices and the product domain
  • Manage project risks, stakeholder expectations, and ensure alignment across engineering, operations, and external testing contractors
  • Drive metrics-focused discussions, track and analyze key performance indicators, and use data to inform testing strategies at both the team and organizational level
  • Self-starter, identifying continuous improvement opportunities in testing processes and quality initiatives
  • Drive cross-functional alignment and collaboration, influencing stakeholders at all levels of the organization

Requirements

  • Proven experience in manual and automated testing of consumer-facing mobile and web applications
  • Strong project management skills, with a track record of managing complex, large-scale testing projects
  • Proficiency in risk management, stakeholder management, conflict resolution, and project communication
  • Expertise with iOS, Android devices, web browsers, and macOS environments
  • Fluency in written and spoken English
  • Deep understanding of SDLC, PRD, ERD, bug lifecycle, and quality processes
  • Familiarity with testing software migrations
  • Strong working knowledge of Jira, bug trackers, and Test Case Management tools
  • Experience working with global teams across multiple time zones (especially US/India)

Nice to have

  • 8+ years of testing experience, with at least 2-3 years in program management roles
  • Experience in quality assurance of global consumer applications in continuous integration/continuous delivery environments
  • Expertise in testing scalable, end-to-end mobile and web solutions
  • Demonstrated ability to process and analyze large data sets to drive improvements and inform decision-making
  • Prior experience in the rideshare or delivery industry, including customer support or related roles
  • Advanced conflict resolution and stakeholder management abilities, working with multiple high-profile projects simultaneously
  • Recent experience in using AI/LLM tools to augment daily work

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