Quality Assurance Engineer, ADECT VAR

Employer: Amazon
Domain:
  • IT Hardware
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
    Location:
  • BUCHAREST
  • Updated at: 28.10.2024
    Remote work: On-site

    Description

    Alexa is the Amazon cloud service that powers Echo, Tap and Dot, the groundbreaking new Amazon devices designed around your voice. We believe voice is the most natural user interface for interacting with technology across many domains; we are inventing the future.

    We are the team that manages rapidly growing Third Party skills catalog for Alexa across all devices and Market Places. If you are excited by technology and working in a fast paced challenging environment drives you, we would love to have you as part of the Amazon Alexa Skills Certification team. The team is responsible for high quality of skills in Alexa world, let it be a device or market place launch or new experiences to customers. This includes the entire ingestion and certification process for Alexa skills, which involves the entire life cycle from the time a developer submits a skill to the time it is put up on the store, and ensuring the high quality experience for Alexa customers even after that.

    We are looking for a "Quality Assurance Engineer" to work on the third party skills testing, the big chunk of the Alexa skill Catalog. If you are interested in challenges that span across Devices, Market Places and an increasing catalog of skills day by day, this is the opportunity. The QAE candidate must have proven expertise in scalable systems and working across technologies.

    The QA Engineer must be able to define and drive best QA Practices, implement Automation and work with Partner teams to push Quality upstream.


    Key job responsibilities
    ? Define and establish QA methodology for various domains in Alexa Skill world.
    ? Develop and Drive QA strategy, Plan and Implementation across New Initiative Programs.
    ? Implement Test Automation across Skill Domains. This includes exploring existing Frameworks for Automation OR provide requirements for Framework(s).
    ? Grow Automated QA Coverage for major Functional Areas across Skill Domains.
    ? Work closely with Product Teams to drive Quality upstream.
    ? Define Quality Metrics and Implement measurements to measure Skills catalog health and bring continuous improvements.
    ? Provide consistent communication to Stake holders.
    ? Be responsible for creation/modification of appropriate test tools that can be used by Other Team Members.


    Basic qualifications

    - Bachelor's degree in Computer Science or equivalent
    - 2+ years of Quality Assurance experience Experience in QA Strategy, planning, Design and Execution
    - Knowledge of data structures, algorithms, distributed systems, and asynchronous architecture
    - Experience with user-level automation and coding via Python, Java or JavaScript.
    - C1 level for German and English languages

    Preferred qualifications

    - Strong Technical Depth
    - Strong Analytical and Problem Solving skills.
    - Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
    - Experience in automation of validating modern user interfaces and messaging infrastructures
    - Experience with Continuous Integration
    - Familiarity with AWS services
    - Experience working in a UNIX/Linux environment utilizing virtual machines Amazon is an Equal Opportunity Employer - Minority / Female / Disability / Veteran / Gender Identity / Age

    Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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