SDE-T , Ring/Blink CS Technology Enablement

AmazonHawthorne, CA
$143,700 - $194,400Onsite

About The Position

The Ring Blink Customer Service (RBCS) team is seeking a Software Development Engineer in Test (SDE-T) to address a critical gap in their quality assurance process. The team's application complexity has grown significantly, serving thousands of external users 24/7 across multiple integrated platforms. With the rapid deployment of AI across voice, chat, and self-service channels, AI capabilities are shipping faster than they can be manually validated. This role will establish and own the automated quality layer using AccelQ and other Amazon internal test automation tools to enable confident shipping of AI features. The SDE-T will implement robust automation frameworks, conduct thorough integration testing, and ensure quality across all platforms, supporting business objectives of high system reliability, secure transactions, and faster delivery of new AI-powered features. Without this role, the team risks increased production incidents, delayed AI feature releases, customer dissatisfaction, team burnout, and technical debt accumulation.

Requirements

  • 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
  • 1+ years of test automation frameworks and tools building experience
  • 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

Nice To Haves

  • 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

Responsibilities

  • Write secure, stable, testable, maintainable code that consistently meets high quality standards
  • Apply best practices in all aspects of software development and testing
  • 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
  • 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
  • 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
  • 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
  • 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

Benefits

  • 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
  • parental leave
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