RBKS AI seeks an experienced Quality Assurance Engineer to join our dynamic team developing innovative RBKS products. The ideal candidate will bring deep expertise in QA and automation, combined with strong leadership capabilities. You'll work alongside passionate professionals to drive quality initiatives, implement automated testing frameworks, and ensure excellence in our AI-powered features.
Key job responsibilities
Quality Assurance Engineers at Amazon test applications and products at the user level and code level, both manually and with automated tools. Our QAEs are not pure black box testers, they are able to understand software internals, debug problems using log files, and write automated tests with scripting tools and/or user-level automated tools.
QAEs at Amazon are excellent individual contributors capable of taking up tasks from start to completion with minimal help. QAEs are responsible to understand the product domain, define test strategy and test plans, develop and drive test case execution and drive best practices to release high quality software to our customers.
You will work with Software Development Engineers to understand features and technical implementation. You will also work with groups such as Product Management, Science Engineering to understand customer usage models and develop test plans and suites that approximate real-world environments and regression tests driving the software development process toward quality-centric methodologies.
You will develop automated tests to help fasten testing cycles and release faster to our customers. In this role, you will be responsible to deliver manual/automated solutions to test customer facing features. As innovators we embrace new technology, you will be empowered to choose the right highly scalable and available technology to solve complex problems in software quality assurance.
If you enjoy building software quality solutions for highly distributed systems and solving challenging problems, come join us!
A day in the life
As a senior engineer in the RBKS AI QA organization, you will collaborate with cross-functional stakeholders to devise test strategies and automation frameworks, while providing strategic guidance to the QA team. You will drive quality initiatives, remove execution blockers, and ensure smooth product delivery through effective partnership with Product Managers, SDMs, Applied Scientists, and Program Managers.
About the team
RBKS AI develops AI-powered features for a diverse range of devices across business units including Ring, Blink, Key, and Sidewalk. The RBKS AI QA team employs innovative quality assurance and automation strategies to rigorously validate these AI features, leveraging specialized testing labs to ensure optimal performance and reliability. This approach enables the team to maintain high quality standards while supporting the rapid development and deployment of advanced AI capabilities across multiple product lines.
- 7+ 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 automation testing
- Experience programmatically testing products, measuring test coverage, developing the best automation, driving testability and diagnostic
- Experience in either building or testing AI powered products or features.
- 5+ years of delivering test frameworks, test tools, leading the QA projects and initiatives experience
- Knowledge of at least one modern object-oriented programming language such as C++, Java, Objective C
- 5+ years of experience in devising comprehensive test and automation strategies, building automation tools
- Experience in either building or testing AI products or features
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