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Quality assurance engineer-ii, amazon smart vehicles

London
Amazon
Qa engineer
Posted: 12 June
Offer description

Quality Assurance Engineer-II, Amazon Smart Vehicles

Do you have a passion for Automotive? Do you want to challenge the status quo of the in-car experience? Do you want to take on very ambiguous problems? If you answered yes to these questions, we have a dream job for you.


As a member of the team, you will be working with business partners, software development engineers to design, implement manual and automated tests. You will have significant influence on our overall test strategy and driving the system architecture that supports it and spearhead the best practices that enable a quality product. You should have a combination of solid in-depth knowledge of Quality Assurance, solid understanding of the operating system software, as well as knowledge automation tools. You will learn a variety of new technologies, development processes, and develop well-rounded skills such as leadership, and effective project management. Candidates will need to define test plans, test specifications, test suites, test cases as well as design tools for functional and performance testing in a programmatic manner.


Key job responsibilities
The successful candidate will be obsessed with quality improvement and automating tests for regression and new features. Responsibilities include understanding customer use cases, diving deep into the software development, and developing QA approaches to measure confidence in the product. You will work directly with product development teams, test automation development engineers, and peer QA teams to iteratively improve our software development process.
As a Software Quality Assurance Engineer, you will join the team of hands-on and passionate SQA professionals developing innovative consumer-centric testing solutions. In this role, you will:
* Develop test plans and test cases
* Develop Automation test harness and automate tests using internal and open source tools & infrastructure
* Find, isolate, document, regress, and track bugs through to a resolution
* Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process
* Engage with an experienced cross-disciplinary staff to conceive, design and develop innovative consumer products.
* Demonstrate continuous search for better and more efficient test solutions, and an instinct for continuous invention and innovation
* Have the opportunity to propose improvements to our existing processes and automated tools in order to improve the team’s speed, quality and efficiency.
* Be responsive, flexible and able to succeed within an open collaborative peer environment. You will need to be able to work efficiently and effectively in a fun, fast-paced dynamic team environment.

A day in the life
· Propose improvements to our existing processes and automated tools in order to improve the team’s speed, quality and efficiency.
· Lead projects end to end with minimum guidance.

About the team
The Amazon Smart Vehicle team is looking for a Software Quality Assurance Engineer to drive world class quality in the software platform that makes a one of a kind experience today, and will enable exciting new capabilities tomorrow. We are building the next generation voice-forward in-cabin experience that delights customers, increases safety, and brings the future of digital cabin to life.

At Amazon, we believe that testing is a key and critical part of SW Development Life Cycle (SDLC) and required for Quality design and innovation. We lead, drive and deliver innovation of new test methodologies and approaches.
As always, we "Work hard. Have fun. Make history."


BASIC QUALIFICATIONS

- - 6+ years of quality assurance engineering experience
- - Experience in manual testing
- - Experience in automation testing
- - Bachelor’s degree in Computer Science, Computer Engineering, Embedded/EE or similar technical field
- - 1+ years of relevant experience in QA testing and debugging
- - 1+ years of experience in scripting test cases
- - Knowledge of Computer Science fundamentals in data structures, algorithms, OOPs, and complexity analysis
- - Experience working in a UNIX/Linux environment
- - Experience in developing high quality test plans, test designs, test strategies, and test execution


PREFERRED QUALIFICATIONS

- - - Master's degree in ECE/EE, Computer Science, Computer Engineering or similar technical field
- - - 2+ years of relevant industry experience in automotive industry in testing IVI or mobile applications and/or voice technology.
- - - Knowledge of all the layers of the OSI model, TCP/IP, Socket programming
- - - Knowledge of industry standard test automation tools and experience developing product test harnesses
- - - Experience with Android, iOS or other mobile application development or testing
- - - Hands-on experience in either Python, Perl, Java, C/C++. Experience with at least one automated test framework like Selenium or Appium
- - - Experience working cross-functionally with different stakeholders including development and business teams
- - - Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Posted: June 11, 2025 (Updated about 1 hour ago)

Posted: June 11, 2025 (Updated about 1 hour ago)

Posted: June 11, 2025 (Updated about 1 hour ago)

Posted: June 11, 2025 (Updated about 1 hour ago)

Posted: May 30, 2025 (Updated about 9 hours ago)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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