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Jobs / Light & Wonder / Software Quality Assurance Engineer
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Posted 2026-06-16

Software Quality Assurance Engineer

Description

Dive deep into our products to guarantee excellence! We're looking for a software quality engineer with proficient, systematic understanding of software test methodologies to maximize testing efficiency and maintain a high-quality bar. Your core mission will be to develop and execute comprehensive test suites that rigorously validate functional, technical, and regulatory requirements. You'll serve as the direct quality liaison, collaborating with R&D teams to rapidly diagnose and resolve complex issues. Plus, you’ll help shape the next generation of engineers by mentoring emerging SQA talent and leading key project coordination efforts. As a Core Software Quality Engineer, you will own the technical validation of our products from development through deployment, ensuring the highest standards of quality and performance.

Responsibilities
  • Develop and execute detailed, comprehensive test plans and test cases (manual and automated) based on technical and functional specifications
  • Take full ownership of testing for assigned product features, including comprehensive regression, system, integration, and performance testing
  • Analyze test results to identify the root cause of defects, then propose and implement effective, data-driven solutions to prevent recurrence
  • Ensure products meet all internal quality metrics and external technical and regulatory compliance standards
  • Serve as the core quality liaison, collaborating daily with Development and Product teams to triage bugs, resolve issues, and ensure rapid resolution
  • Reproduce, troubleshoot, and thoroughly test field-reported and customer-facing bugs in live or simulated environments
  • Perform necessary testing and validation on integrated hardware and firmware components
  • Maintain accurate, detailed documentation of test activities, test data, and outcomes, and deliver regular quality reports and risk assessments
  • Serve as a quality representative during development Code Reviews, ensuring testability and compliance are baked into the software architecture
  • Identify opportunities to optimize and streamline SQA methodologies and procedures to enhance testing efficiency, velocity, and overall quality standards
  • Establish strong working relationships with key organizational partners (Development, Product, etc.) to align quality goals and requirements upfront
  • Guide and train new Associate SQA Engineers on project-specific testing requirements and SQA toolsets.
  • Undertake challenging, ad-hoc projects that require advanced troubleshooting and quality strategy
Requirements
  • Demonstrable proficiency in at least one modern programming language (C, C++, or C#) or scripting languages (Python) to facilitate reading code, writing test harnesses, or debugging (required)
  • Working knowledge of a major IDE such as Visual Studio or similar tools used for debugging and code analysis (required)
  • Hands-on experience working within Windows or Unix environments (required)
  • Proficiency with basic data manipulation tools for test data analysis, metrics tracking, and quality reporting (required)
  • Fundamental understanding of software development lifecycle (SDLC) (required)
  • Hands-on experience with test case management and defect tracking tools (required)
  • Experience with any test automation tools is a plus (preferred)
  • Basic knowledge of the gaming or embedded systems industry (preferred)
  • Working knowledge of gaming communication protocols (EX: SAS or ASP or G2S or QCOM) is a plus (preferred)
  • Excellent communication skills, both written and verbal. (required)
  • Strong analytical and debugging skills (required)
  • Strong documentation and communication skills (required)
  • Ability to rapidly adapt to changing project priorities, and maintain focus and quality in a fast-paced, diverse team setting (required)
  • Prompt Engineering knowledge for effective interaction with generative AI tools is a plus (preferred)
  • Experience using Large Language Models (LLMs) or other AI tools for tasks like test case generation, test data creation, or defect analysis is a strong advantage (preferred)
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