As a Senior Software Development Engineer in Test (SDET), you will anticipate challenges, dive deep with engineers across the Blink organization, and regularly communicate with senior leaders and stakeholders at all levels. You will amplify your impact working closely with team members and software development managers to drive mindful discussions that lead to robust test automation frameworks, comprehensive test strategies, and high-quality solutions. Your expertise in both software development and quality assurance, combined with strong test automation capabilities, will be crucial in ensuring the reliability and performance of our systems.
We're seeking an engineer who will shape the future of our AI-powered automation platform, with a particular focus on modernizing our application testing and deployment pipelines. The ideal candidate will combine deep engineering expertise with strategic thinking to create intelligent, scalable solutions that transform how we approach automation, dramatically reducing the time and complexity of application validation and delivery. This role requires someone who can see beyond traditional automation approaches, bringing fresh perspectives on how to leverage LLMs, neural networks, and emerging AI technologies to solve complex application testing and deployment challenges.
Key job responsibilities
Design AI-powered test automation frameworks that leverage machine learning for intelligent test case generation, predictive analytics, and autonomous test maintenance across mobile and cloud platforms
Architect next-generation test infrastructure that combines traditional CI/CD pipelines with AI-driven decision making for optimized test selection, parallel execution, and automated result analysis
Lead technical strategy for implementing LLM-based approaches to test script generation, automated debugging, and intelligent test maintenance across our distributed systems
Pioneer innovative quality practices that leverage AI for automated performance analysis, intelligent chaos engineering scenarios, and predictive system reliability testing
Design self-healing test systems that use machine learning to adapt to application changes, automatically maintain test suites, and provide AI-driven insights into test coverage
Drive adoption of AI-augmented testing practices across teams, focusing on the integration of intelligent automation tools and ML-based testing approaches in our development workflow
A day in the life
As a Senior Test Innovation Engineer, you'll lead the evolution of our next-generation automation platform while mentoring teams on modern testing practices. Your mornings might involve collaborating with teams to define new automation strategies, incorporating AI capabilities that dramatically reduce test maintenance and improve coverage. You'll drive key architectural decisions for our testing infrastructure, write critical automation code, and guide other SDETs and QAEs in adopting these new approaches. Throughout the day, you'll identify opportunities where AI can enhance our existing processes - whether that's using LLMs to generate more robust test cases, implementing intelligent test selection to speed up our testing cycles, or creating self-healing frameworks that reduce maintenance overhead. The role requires deep technical expertise in test automation and infrastructure, combined with the vision to see how AI can transform these traditional testing practices. You'll be focused on building solutions that scale across teams, accelerate our testing cycles, and ultimately enable us to deliver higher quality products faster than ever before.
About the team
Our Engineering Environment At Blink, you'll work within a fully integrated engineering ecosystem where you can test across multiple layers - from algorithms and ASICs to hardware, firmware, AWS infrastructure, and mobile applications. As part of the Amazon Devices family, you'll collaborate with teams across Ring, Kindle, Fire, and Echo platforms. We maintain a strong quality-first culture where every team member is empowered to advocate for customer experience improvements. Our agile teams are structured to promote close collaboration, typically with small groups of engineers working together on focused projects. This environment provides unique opportunities to drive quality across the full technology stack while delivering exceptional customer experiences.
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