SDE-T , Ring/Blink CS Technology Enablement
About the role
The Ring Blink Customer Service (RBCS) team's application complexity has grown significantly, now serving thousands of external users 24/7 across multiple integrated platforms. We're rapidly deploying AI across voice, chat, and self-service channels, but our AI capabilities ship faster than we can validate them manually, creating a critical gap in our quality assurance process. The current testing team is overwhelmed with manual testing efforts, causing delays in release cycles and increasing the risk of production issues. Key challenges include managing multiple parallel releases, ensuring comprehensive integration testing across four major systems, maintaining high availability requirements (99.9% uptime), and meeting strict security compliance standards. We are seeking a Software Development Engineer in Test to establish and own the automated quality layer using AccelQ and other Amazon internal test automation tools, enabling us to ship AI features with confidence instead of slowing down to manually test every model change. This role will implement robust automation frameworks, conduct thorough integration testing, and ensure quality across all platforms. Without this crucial hire, we risk increased production incidents, delayed AI feature releases, customer dissatisfaction, team burnout, and technical debt accumulation. This role will be instrumental in supporting our business objectives of maintaining high system reliability, ensuring secure transactions, and enabling faster time to delivery of new AI-powered features.
Key job responsibilities
The successful Software Development Test Engineer will be obsessed with customer experience and quality improvement. In this role, you will:
- Code Development & Delivery: Write secure, stable, testable, maintainable code that consistently meets high quality standards. Apply best practices in all aspects of software development and testing.
- Test Automation & Framework Development: Design, develop, and execute comprehensive test automation frameworks using AccelQ and Amazon internal test automation tools for web applications, APIs, and integrated systems. Build scalable test automation solutions for Salesforce Lightning components, Amazon Connect flows, AI services, and AWS service integrations. Use technology to validate and verify software, seeking input from team members on the best software test techniques to utilize. Develop custom testing tools and utilities that enable the team to efficiently validate complex AI-powered workflows. Create reusable test libraries and patterns that accelerate test development across the organization. Establish automated validation pipelines for AI model outputs, conversation flows, and intent recognition accuracy.
- Quality Transformation & Process Improvement: Dive deep into testing methodologies to transform manual quality processes into highly automated quality solutions, specifically targeting AI validation bottlenecks. Improve your team's automation of development, testing, and deployment processes using Amazon's internal testing ecosystem. Design, develop, and execute automation test plans and reporting on test execution. Coordinate test approaches, test cases, and test methodology with remote teams. Drive continuous improvement in test coverage from current 65% to target 90%, with focus on AI-critical paths. Transform manual AI testing processes into highly automated, reliable quality gates.
- Integration & End-to-End Testing: Own the end-to-end testing strategy across Salesforce, Amazon Connect, AI services, and AWS platforms. Design and execute integration test suites that validate data flow and business logic across system boundaries. Implement API testing frameworks for RESTful services and AWS service integrations. Validate AI model outputs and ensure quality of AI-powered customer service features. Automate the validation of modern user interfaces and cloud infrastructures. Build automated testing for conversational AI flows, including edge cases and error scenarios.
- Performance & Security Testing: Conduct performance testing and capacity planning for high-traffic customer service applications and AI services. Implement load testing strategies to validate system behavior under peak conditions, including AI service performance. Implement security testing practices and validate compliance with Amazon security standards. Establish performance benchmarks and regression testing for critical user journeys. Create performance testing frameworks for AI services under varying load conditions.
- Team Collaboration & Mentorship: Communicate technical concepts and processes using clear, simple language and visuals. Collaborate with development teams to shift testing left and implement test-driven development practices. Work in Agile/Scrum development methodologies with cross-functional teams. Collaborate with AI/ML teams to implement test-driven AI development practices.
Basic Qualifications
- 3+ years of non-internship professional software development testing experience
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience in penetration testing and exploitability-focused vulnerability assessment
- Experience in platform-level security mitigations and hardening for Linux and Windows
- 4+ years of test automation frameworks and tools building experience
- Knowledge of at least one object-oriented language (e.g., Java, Python)
- Familiar with software engineering best practices for the full software development life cycle
- Familiar with software test techniques and strategy
- Familiarity with CI/CD frameworks, processes and tools for continuous testing and integration
- Experience with both on-premises and cloud-based testing environments, preferably including AWS services
Preferred Qualifications
- Knowledge of overall system architecture, scalability, reliability, and performance in a database environment
- Experience with security in service-oriented architectures and web services
- Experience with test automation framework or tools (e.g., Junit, TestNG, Selenium)
- Experience with AccelQ or similar enterprise test automation platforms
- Familiarity with Amazon internal test automation tools and testing frameworks
- Knowledge of industry standard test automation tools and experience developing product test frameworks
- Knowledge of scripting languages (bash, python, etc.)
- Experience with open source tools and resources
- Experience automating the validation of modern user interfaces and infrastructures
- Experience communicating technical concepts and processes using clear, simple language and visuals
- Experience in Agile or Scrum software development methodologies
- Experience with Salesforce testing (Apex, Lightning Web Components, Salesforce APIs)
- Familiarity with Amazon Connect or contact center platforms
- Experience testing AI/ML systems and validating model outputs
- Experience with AI model monitoring, A/B testing frameworks, and automated performance validation
- Experience building quality gates for rapid AI deployment pipelines using enterprise automation tools
- Knowledge of AI safety testing, bias detection, and automated compliance validation
- Familiarity with CI/CD frameworks, processes, and tools for continuous testing and integration
Pay
USA, CA, Hawthorne - 143,700.00 - 194,400.00 USD annually. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.
Benefits
Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Company - Amazon.com Services LLC
This response is AI-generated, for reference only.