Software Development Engineer in Test (SDET) (on-site)
Senior quality engineer (SDET) on-site in Plano, TX, embedded with engineering teams at Ziosk, a pay-at-the-table restaurant tech company. Day to day they build and maintain automated test frameworks for Android devices, cloud services, APIs, and web apps, integrate testing into CI/CD, run risk-based and release readiness testing, and coach engineers on quality practices using AI-assisted workflow
- Compensation
- Not disclosed
- Location
- Plano, TX
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Qa
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience
- 3+ years of experience in software development, test automation, or quality engineering
- Experience developing automated tests using modern programming languages such as C#, Java, TypeScript, JavaScript, or Python
- Experience validating complex software features and end-to-end business workflows
- Experience testing APIs, web applications, mobile applications, and distributed systems
- Familiarity with CI/CD pipelines and DevOps practices
- Experience working within Agile software development environments
- Strong debugging, troubleshooting, analytical, and problem-solving skills
- Excellent communication and collaboration skills
- Eligible to work in the U.S. and able to commute daily to Plano, TX
Nice to have
- Experience with Playwright, Appium, Selenium, or similar automation frameworks
- Experience testing Android applications and devices
- Experience with Azure DevOps or similar ALM platforms
- Experience testing cloud-native applications and microservices
- Experience with exploratory testing and risk-based testing techniques
- Exposure to performance, reliability, or security testing
- Experience applying AI-assisted engineering tools in software development workflows
Full description
Senior Software Development Engineer in Test (SDET) (on-site) - Plano, TXWelcome 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.
The Main Course – 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.