Lead Software Engineer in Test (SDET)

As a Lead Software Engineer in Test (SDET) at Nex, you will build the test engineering capability within Platform Software Engineering that helps us ship reliable Nex Playground experiences.

You will define and implement an automated test strategy spanning device software, cloud services, and hardware-integrated systems. From functional and regression testing to sustained device stress and cloud-scale load, you will design and build the tools, practices, and feedback loops that help engineers find problems early and release with confidence. You will lead through technical judgment, hands-on execution, and collaboration, and drive practical AI adoption in your work.

• Teams can rely on fast, maintainable automated tests to detect meaningful regressions throughout development and release.
• Device software, hardware-integrated systems, and cloud services are tested under realistic conditions, including sustained stress and load at scale.
• Engineers can see test coverage, reliability trends, and release risks clearly, and use that information to improve products and test effectiveness.
• Test tools and methods continuously improve, and platform engineers can design and build more testable systems.

• Own and evolve the automated test strategy for Platform Software Engineering. Prioritize coverage based on product risk and drive a high level of meaningful automated test coverage.
• Define test approaches, quality criteria, and release feedback with platform engineers working on device software and cloud services.
• Review and improve vendors’ test strategies and coverage, identify gaps, and work with vendors to address them.
• Research, evaluate, and develop new testing techniques and tools that improve coverage, speed, and confidence.
• Drive responsible, practical AI adoption in test design, automation, analysis, and engineering workflows, while maintaining human judgment and verification.

• Develop and operationalize functional, stress, and regression testing for software and hardware products, using both software-based and hardware-integrated techniques.
• Develop and operationalize cloud service load testing using synthetic workloads and data at scale; identify bottlenecks, failure modes, and regressions.
• Design, build, and evolve reusable test frameworks, harnesses, fixtures, and infrastructure that support reliable, repeatable testing across system boundaries.
• Keep automated testing integral to CI/CD, with actionable feedback that engineers can use throughout development and release.
• Improve product testability through better instrumentation, API design, separation of concerns, and effective use of mock objects and test data.
• Define and track metrics, reports, and dashboards that show test coverage, effectiveness, reliability, and trends over time.

• Partner with platform engineers to embed quality and testability into design and delivery rather than treating testing as a final gate.
• Work with platform engineers to investigate failures, identify root causes, and turn findings into product and test improvements.
• Raise the engineering bar through design reviews, technical guidance, mentoring, and sharing test practices, tools, and findings with platform engineers.

• Experience setting technical direction for test engineering across teams and independently delivering work from strategy through implementation and iteration.
• Strong hands-on software engineering skills, with experience designing, building, and maintaining automated test frameworks and infrastructure used by engineering teams.
• Experience defining and delivering test strategies for complex software systems, including functional, regression, and stress or reliability testing.
• Experience testing cloud services under load, including generating representative workloads and data and investigating performance or scalability bottlenecks.
• Experience integrating automated tests into CI/CD and improving the reliability, speed, and usefulness of test feedback.
• Strong understanding of software design for testability, including instrumentation, APIs, isolation, mocks, and test data.
• Experience applying AI tools to engineering and testing workflows, with a thoughtful approach to validation and data security.

• Experience testing connected consumer devices or systems that combine device software, firmware, hardware, and cloud services.
• Experience with hardware-in-the-loop testing, automated test fixtures, or validation of cameras, sensors, or other hardware modules.
• Familiarity with Android/AOSP, embedded systems, or device-level debugging.
• Experience with soak, endurance, fault-injection, or other reliability testing techniques.
• Experience building products for children and families.