SDE-T , Ring​/Blink CS Technology Enablement

Overview

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.

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 report 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…