• Partner with an existing SDET to drive testing efforts toward a near-term go-live • Build and maintain automated test coverage using Playwright and TypeScript • Support performance and regression testing (JMeter) • Act as a Quality Champion, defining test scope and clearly articulating risks • Collaborate with engineering and product teams in an Agile environment (Azure DevOps) • Gain deep understanding of the application, data, and domain • Work independently in a lean QA setup (2 SDETs, no QA management layer)

Role Description The Classics Department at the University of Pittsburgh seeks a lecturer for one 3-credit section of CLASSICS 1185: SCIENCE FICTION & THE ANCIENTS. - Applicants should approach ancient literature and classical reception through a lens of science fiction studies. - The successful candidate's scholarly interests and experience will include: - A focus on the literary study of ancient and modern texts. - The intellectual history of scientific and political philosophy. - Specific emphasis on the reception of ancient art and literature in modern science fiction and African American literature. - Required qualifications include: - An MA in Classics or a related field at the time of hire. - Experience in teaching or supporting this or a similar course in the American post-secondary system. - The appointment is for the summer semester, June 15, 2026, through August 15, 2026. - This class will be taught remotely. - Review of application materials will begin immediately and continue until the position is filled. - Application materials should include: - A letter of application detailing suitability for the teaching appointment. - A current CV. - A statement of teaching philosophy and experience that addresses diversity. - A list of three recommenders, at least one of whom should comment explicitly on the candidate’s teaching ability. - Questions related to the position or application process may be directed to Kelly Britcher at ksb85@pitt.edu . Qualifications - MA in Classics or a related field. - Experience in teaching or supporting a similar course in the American post-secondary system. Requirements - Scholarly interests in the literary study of ancient and modern texts. - Focus on the intellectual history of scientific and political philosophy. - Emphasis on the reception of ancient art and literature in modern science fiction and African American literature. Company Description The University of Pittsburgh is an equal opportunity employer.

Role Description This is a remote role, but you are welcome to join us in our Munich Office. The contract is limited to 5 months. - Develop cutting-edge tools in Bragi's proprietary audio testing environment, focusing on automation of audio features for headphones, TWS earbuds, and Speakers. - AI-based scenario and test case development. - Work hands-on with audio hardware in/with our automated audio lab and Hardware-In-the-Loop (HIL) setups to ensure voice control accuracy, device reliability, and audio quality. - Execute a mix of automated and manual tests, actively improving test coverage and efficiency. - Analyze test results with a focus on audio performance and voice interaction, report findings, and collaborate with developers to ensure high product quality. - Maintain and troubleshoot Bragi’s audio test infrastructure, resolving hardware and software-related issues swiftly. - Develop and document detailed audio and voice control test plans using Qase. Qualifications - 3+ years of experience in software testing, ideally with a focus on audio products (headphones, earbuds, speakers, or voice-controlled devices). - Strong skills in Python and object-oriented programming. - Experience with version control systems (Git, GitLab). - Solid knowledge of automated testing frameworks and processes. - Passion for working with physical audio devices, someone who enjoys testing directly on hardware, not just in software simulations. - A proactive, hands-on approach with strong ownership, drive, and team collaboration. - Strong interest and ideally prior experience in using AI tooling (Claude or similar). - Familiarity with Agile/Scrum methodologies. Requirements - Experience testing voice assistant features (Google Assistant, Alexa, Siri) on hardware. - Knowledge of Robot Framework. - Familiarity with bash scripting or Windows batch scripting. - Background in acoustics, audio engineering, or voice recognition technologies. - Relevant certifications (e.g., ISTQB Advanced). Benefits - A project that is extremely technically challenging and will change how audio is consumed forever. - Master your Test Automation skills by working in a creative and game-changing environment with many Senior Engineers. - A chance to deliver a delightful experience to 25m+ users in the next 12 months (existing base is 10m+). - A flexible online Learning & Development program: choose where you want to improve yourself. - 10 professional coaching sessions with experts to support your growth. - If you are in Munich and would like to work from the office, you can enjoy on-site perks such as breakfast and lunch, as well as regular social events. For remote colleagues, we also offer a range of virtual activities. - Work from where suits you best.

• Drive the end-to-end testing strategy, and oversee release readiness. • Collaborate with the product and engineering teams to help define and drive our manual and automation testing efforts. • Review technical design documents and API specifications (Swagger/OpenAPI) to provide meaningful feedback using AI-assisted analysis on system testability, edge cases, and potential integration bottlenecks. • Partner with Product and Engineering leadership to define the automation strategy for new feature releases. • Design and execute complex test cases targeting frontend and backend systems, and leverage AI-powered tools like Cursor or Augment to rapidly prototype and scaffold new test suites. • Develop comprehensive test suites for frontend and backend - RESTful (or GraphQL) APIs. • Maintain and extend backend automation frameworks, preferably, Locust or Pytest, RestAssured, by utilizing LLMs. • Establish and enforce QA best practices, coding standards, and rigorous code review processes for the automation team. Foster a culture of technical excellence and proactive problem-solving. • Develop automated test result reports and highlight any potential quality risks. • Identify, troubleshoot, and track bugs to resolution using AI tools to assist in root cause analysis and log interpretation. • Advocate for automation: Contribute with the automation-first approach and partner with the engineering team to provide recommendations on how to decrease efforts in manual testing.