ABOUT THE OPPORTUNITY Wind River Systems is building Wind River Studio, a cutting-edge cloud platform and DevSecOps toolset for the digital transformation of RTOS-based devices at the “intelligent edge” of critical IoT applications. Our growing AI team is building out a set of new 'digital feedback loop' features for Studio AI, to make it quick and easy for embedded device developers to send data and interact securely with the cloud. We are seeking a new team member for our Studio AI team. You will contribute your strong technical aptitude in building quality into cloud-based IoT platforms for analytics products such as Digital Feedback Loop. Your work will help our customers digitally transform to securely and efficiently develop, test, and operate Wind River-based products in diverse mission-critical applications in the many industry verticals we serve. The ability to consider multiple cloud platform systems is essential in defining test plans and test cases, and while implementing automated tests. You will likely need to work with a variety of tools, operating systems, and products to ensure the delivery of high-quality automated test code. Who you will work with: This is a new senior-level role that will interact closely with globally-distributed UI developers, back-end cloud developers, edge developers, data engineers, data scientists, architects, and stakeholders across the various Studio groups in Engineering. We commonly use swarming to help the team learn more quickly and get things done while enjoying it. You will also collaborate cross-functionally as needed with product line managers, professional services, technologists, and customer-facing teams. You will report to a regional manager within the Studio AI directorate in Engineering. What you’ll do / your responsibilities: You will be the team’s subject matter expert on effective testing and verification, leading both strategy and execution. In this role, you will design, develop, test, deliver, maintain, and improve verification and validation (V&V) for a production cloud-native, and mostly cloud-agnostic, DevSecOps platform and application for the intelligent edge. As a technical lead and contributor, you will iteratively:
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