Sr. Quality Assurance Engineer, Alexa Connections

Amazon; Pisa; In loco; EUR 55.000 - 80.000; Tempo pieno

Descrizione del lavoro

A global tech company located in Pisa, Italy, is seeking a Sr. Quality Assurance Engineer to lead testing automation initiatives for advanced AI communication features. The ideal candidate will have over 6 years in quality assurance with a focus on automation and collaboration across teams. This role involves ensuring quality in every phase of development, creating test plans, and reporting testing results. It's an opportunity to influence the future of technology with a passion for innovation and user experience.

Competenze

• 6+ years of experience in quality assurance engineering.
• 4+ years of experience in leading QA projects and initiatives.
• Knowledge of QA methodology and tools.

Mansioni

• Drive the testing automation and quality initiatives for AI communication features.
• Create test plans and strategies for AI-powered systems.
• Collaborate with cross-functional teams to enhance product quality.

Conoscenze

Quality Assurance Engineering

Test Automation

Manual Testing

Scripting or Coding

Collaboration

Descrizione del lavoro

Sr. Quality Assurance Engineer, Alexa Connections

Are you ready to be at the forefront of Agentic AI innovation and redefine the future of communication? Join our dynamic Alexa Connections team as a Sr. Quality Assurance Engineer, and lead futuristic initiatives that will shape the next generation of intelligent, conversational experiences. In this role, you'll work at the intersection of disruptive AI technologies and real-world impact, making a difference for millions of customers. You'll collaborate with a team of passionate professionals who are as excited about innovation as you are, and together, you'll push the boundaries of what's possible with Alexa+.

As a Sr. QAE, you'll drive the testing automation and quality initiatives of next-generation communication features powered by advanced AI technologies, including Generative, Agentic, and Real-time AI. You'll work closely with cross-functional teams, including product management, engineering, design, and data science, to design and deliver innovative solutions that leverage these AI technologies to enable seamless, intelligent communication experiences. You'll also lead the integration, UAT and scale testing of these advanced AI systems into Alexa's core capabilities, ensuring a seamless and intuitive user experience.

Key Responsibilities

• End to End test automation for LLM/Agentic AI systems with AI technologies
• Improve customer experience by maintaining a high quality bar
• Experienced in testing hardware devices, and/or backend services and test automation
• Creating Test Plans, and test strategy for non-deterministic AI powered systems
• Review and raise the CX bar for conformity and functionality
• Find, isolate, document, regress and track bugs through resolution
• Interpret and report testing results and be a vocal proponent for quality in every phase of the development process
• Work with software development engineers to understand the overall technical architecture and how each feature is implemented
• Collaborate across teams to enhance total product quality

About the team
Alexa Connections aspires to make Alexa+ the world’s most trusted connection assistant for getting things done and creating moments of joy. Our vision emphasizes a) Trust as our foundation for becoming a daily habit, knowing our customers have plentiful choices, b) Completion of end-to-end customer journeys, beyond shipping features, and c) Joy through personalized, proactive experiences, that create a memory.

Basic Qualifications

• 6+ years of quality assurance engineering experience
• 4+ years of delivering test frameworks, test tools, leading the QA projects and initiatives experience
• Knowledge of QA methodology and tools, with demonstrated experience in an QAE role
• Experience in manual testing
• Experience in automation testing
• Experience scripting or coding

Preferred Qualifications

• 2+ years of UI Automation (preferably on mobile platforms) experience
• Knowledge of at least one modern object-oriented programming language such as C++, Java, Objective C

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