Wifi Connectivity Test Engineer Description - Role Overview QA Specialist ensures products and solutions meet real-world customer expectations by validating usability, reliability, and end-to-end experience beyond functional correctness in connected ecosystem. This role integrates Quality Engineering, Data Engineering, and AI-driven insights to translate customer journeys, usage signals, and feedback into measurable acceptance criteria, actionable insights, and informed release-readiness decisions. The specialist works closely with Product Management, Engineering, UX, and Quality teams to proactively identify customer friction, predict acceptance risks, and drive customer-aligned quality outcomes. Responsibilities • Installs, configures, and tests and maintains operating systems, application software, and system management tools, with a high degree of expertise and independence. • Monitors and tests application performance for potential bottlenecks, identifies possible solutions, and works with developers to implement those fixes. • Designs enhancements, updates, and programming changes for portions and subsystems of systems software, including operating systems, compliers, networking, utilities, databases, and Internet-related tools. • Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. • Writes and executes complete testing plans, protocols, and documentation for assigned portion of application; identifies and debugs, and creates solutions for issues with code and integration into application architecture. • Creates and maintains detailed technical documentation, including system architecture diagrams, design specifications, and user manuals. • Leads a project team of other software systems engineers and internal and outsourced development partners to develop reliable, cost effective and high quality solutions for assigned systems portion or subsystem. • Collaborates and communicates with management, internal, and outsourced development partners regarding software systems design status, project progress, and issue resolution. • Represents the software systems engineering team for all phases of larger and more-complex development projects. • Provides guidance and mentoring to less- experienced staff members. Education & Experience Recommended • Four-year or Graduate Degree in Computer Science, Information Systems, or any other related discipline or commensurate work experience or demonstrated competence. • Typically has 4-7 years of work experience, preferably in systems engineering, computer programming language, or a related field or an advanced degree with 3-5 years of work experience. Knowledge & Skills • Agile Methodology • Amazon Web Services • Application Programming Interface (API) • Automation • C++ (Programming Language) • Computer Science • Debugging • Docker (Software) • Full Stack Development • Java (Programming Language) • JavaScript (Programming Language) • Kubernetes • Linux • Microservices • Microsoft Azure • Python (Programming Language) • Scalability • Software Development • Software Engineering • SQL (Programming Language) Customer Acceptance & Quality Perform Customer Acceptance Assessments (CAA) using real-world customer journeys, personas, and behavior patterns due to connectivity failures. Translate customer expectations into clear, testable acceptance criteria across firmware, software, cloud, and solution layers. Identify usability gaps, workflow friction, reliability risks, error-recovery issues, and experience inconsistencies. Execute exploratory, scenario-based, and hypothesis-driven testing focused on customer usefulness and experience. Communicate customer impact and recommendations to stakeholders. Data & Insights Analyze customer feedback, telemetry, defects, test results, and usage analytics. Design and support data pipelines for multi-source quality data. Build dashboards and metrics for acceptance and release readiness. AI-Enabled Quality Apply AI-assisted analysis to predict customer friction and acceptance risks. Prepare datasets for ML models and AI agents. Integrate acceptance signals into AI-native quality platforms. Required Skills Quality Analysis and Customer Experience SQL/Python, Data Engineering fundamentals AI-driven quality and predictive analytics Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope • Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process. Complexity • Responds to moderately complex issues within established guidelines. Disclaimer • This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge