As a Sr Principal QA Engineer you will we working as a Test Architect and a technical leader, driving the strategy, process improvements and execution of product feature verification for Nokias Coherent Pluggable programs. This role offers the opportunity to apply your expertise in complex system testing, automation, and cross-functional collaboration to ensure high-quality, carrier-grade products. If you are passionate about mentoring teams, defining robust test strategies, and contributing to continuous improvement, this position provides a platform to make a significant impact on product quality and customer satisfaction. Provide technical leadership for the team to deliver Product Features across multiple releases. Develop the overall test strategy for existing and upcoming Pluggable FW programs Drive AI/ML-enabled test transformation, automation adoption, and engineering productivity initiatives in alignment with and building on company-wide AI initiatives Drive process, tool and test coverage improvements based on program and customer feedback to drive left-shifted and efficient testing Review Product Requirements for features and estimate efforts, equipment, and schedule for release commitments. Review System Requirements and develop comprehensive Test strategies to validate System Features and Customer deployment use cases. Collaborate with System Engineering, Test, Design, and Architecture teams on requirements and testing strategies. You have: A bachelor's degree or higher in Computer Science Engineering (CSE), Electrical and Electronics Engineering (EEE), or Electronics and Communication Engineering (ECE) with 10+ years of experience in System Testing one or more of the areas like Certifying Optical Networks (SONET/SDH/OTN/DWDM) systems or components / pluggables in a product development environment and expertise in relevant standards. Expertise in optical and software design for optical equipment that fits into a network node or coherent pluggable Proficiency in programming/scripting languages such as Python, Perl, or other relevant scripting languages. Experience in Automation framework development/maintenance, script/suite execution, and analysis of failures. Nice-to-have: Experience in system testing across multiple product releases and collaborating with customer support teams to address field escalations during deployments. Experience from leading roles in driving wide AI adoption and other disruptive change management
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