Software Development Engineer in Test (SDET) (on-site)

Senior Software Development Engineer in Test (SDET) ( on-site) - Plano, TX Welcome to Ziosk, where we empower restaurants to focus on what matters most: the guest experience! Have you ever used a tablet to pay at a restaurant? We pioneered the pay-at-the-table concept and we’re cooking up a plan to transform the restaurant industry.

Our recipe for success has been adapting and growing to exceed the needs of our clients, such as Olive Garden, Texas Roadhouse, Chili’s and more – helping them create an experience that keeps guests coming back. Today we have a full menu of solutions, from hardware to software to cloud-based and AI driven products, all focused on helping them create the best guest experience possible to grow their bottom line. Our secret sauce?

Our people! Every day, they’re cooking up bold solutions, making Ziosk the leading pay-at-the-table provider in the industry. Want a seat at our table?

The Software Development Engineer in Test (SDET) is an AI-native quality engineer embedded with an engineering team who plays a critical role in assessing risk, assuring quality, improving release confidence, and helping all engineers adopt stronger quality practices. This role combines software engineering, test automation, exploratory testing, risk analysis, release readiness, coaching, and AI-assisted workflows to help teams prevent defects early, validate product behavior, and ship reliable software with confidence. The SDET works closely with Product Managers, Developers, Architects, and fellow Quality Engineers to validate new capabilities, expand automation coverage, reduce risk, improve release confidence, and help raise the overall engineering quality bar across Android devices, cloud services, APIs, integrations, and web applications.

The ideal candidate is a hands-on engineer who writes code, builds automation, thinks critically about risk, and uses AI-assisted workflows to improve how quality is built, tested, coached, and released across the team.

Responsibilities

AI-Native Test Automation, Engineering, and Delivery Design, develop, and maintain automated test frameworks, test suites, utilities, and tools that improve coverage, testability, and engineering efficiency. Create automated tests for user interfaces, APIs, backend services, integrations, and critical end-to-end workflows. Use AI-assisted development and testing tools to accelerate test design, automation development, defect investigation, risk analysis, and coverage improvement while applying engineering judgment to ensure accuracy and maintainability.

Integrate automated testing into CI/CD pipelines, monitor execution, investigate failures, and support quality gates that improve release confidence. Participate in code reviews and collaborate with engineering teams to improve application testability, deployment confidence, and release velocity. Team Quality, Risk Management, and Release Readiness Help the team assess quality outcomes by identifying risks, validating product behavior, improving test coverage, and ensuring releases meet customer and operational expectations.

Plan and execute risk-based testing for complex features, integrations, and end-to-end workflows across Android devices, cloud services, APIs, and restaurant-facing experiences. Support release readiness through feature validation, regression testing, deployment verification, post-deployment smoke testing, and production validation. Investigate, reproduce, verify, and help troubleshoot defects, including targeted regression and root cause analysis when quality issues occur.

Partner with Product Managers, Developers, Architects, and fellow Quality Engineers to assess readiness, expose quality risks, improve testability, and provide clear release recommendations. Team Collaboration Work closely with developers, product managers, architects, and fellow quality engineers.