Quality Assurance / Software Test Engineer

Royal Cyber Inc.

San Antonio, TX, United States

5 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Testing (Software) Microsoft Word Microsoft Excel Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services JIRA Automation of Tests Microsoft Azure Software Bug Management Microsoft Outlook

+29 more

Databases Continuous Integration Data Integrity Relational Databases Software Debugging DevOps Distributed Systems PostgreSQL Microsoft Office Microsoft SQL Server Scrum Methodology Standard Sql Requirements Traceability Selenium SoapUI Test Case Test Data Test Management Web Applications Cloud Platform System Performance Testing Postman Information Technology Playwright Data Analytics Data Management Restful APIs Software Version Control Data Generation

Job description

Design and create risk-based test plans, test scenarios, and traceable test cases from business and technical requirements.
Execute manual and automated tests, report defects, analyze failures, and accurately document results and evidence.
Update and enhance reusable test suites, automation frameworks, and test methods to improve coverage, reliability, and maintainability.
Create, manage, and, where appropriate, automate test-data setup and cleanup using approved tools and environments.
Identify quality, delivery, data, security, and automation risks that may affect the schedule, and recommend mitigation actions.
Provide clear, concise project, test, automation, and quality documentation.
Contribute to requirements, specifications, test case, automation code, and test plan reviews.
Collaborate with developers, business analysts, product owners, DevOps engineers, and other SIT professionals to solve problems and improve testability.
Participate in the documentation, development, and continuous improvement of quality engineering processes, standards, and procedures.
Build positive working relationships within and across departments.
Proactively strengthen technical, automation, AI, and domain knowledge.
Follow established organizational processes, security requirements, data-handling standards, and responsible AI practices.
Use approved generative AI and agentic tools, including Kiro, to assist with test scenario generation, automation code creation, framework scaffolding, documentation, and failure analysis, with human review of generated outputs.
Develop and maintain automated tests for web, API, database, and end-to-end workflows using tools such as Playwright or Selenium and appropriate service-testing frameworks.
Apply codebase-aware and requirements-aware techniques to identify coverage gaps, edge cases, negative scenarios, and potential drift between requirements, implementation, and automated tests.
Integrate automated testing into CI/CD pipelines and support continuous testing through reliable quality gates, reporting, traces, logs, screenshots, and other diagnostic artifacts.
Evaluate and improve automation resilience through stable locator strategies, reusable components, data-driven design, retry-aware assertions, and appropriate self-healing or AI-assisted maintenance techniques.
Support testing of AI-enabled features by validating functional behavior, accuracy, reliability, security, privacy, explainability, bias risks, and appropriate human oversight when applicable.
Use production-like telemetry and defect trends, when authorized, to prioritize regression coverage and strengthen shift-left and shift-right quality practices.

Requirements

Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field from an accredited college or university, or equivalent relevant experience, required.
Minimum of three (3) years of software testing or quality engineering experience, including static, system, regression, functional, non-functional, exploratory, and performance testing.
Experience testing modern web applications and distributed systems.
Proficient Microsoft Office skills, including Outlook, Word, and Excel.
Experience with API testing tools and practices, such as Postman, SoapUI, or automated REST API validation.
Experience with Agile software delivery practices using Scrum and/or Kanban preferred.
Strong understanding of testing fundamentals, including risk-based testing, requirements traceability, defect management and analysis, test design techniques, defect prevention, and remediation validation.
Understanding of relational data models and data integrity concepts.
Working knowledge of SQL and relational databases, such as SQL Server or PostgreSQL.
Basic software development skills in at least one language, with the ability to read, troubleshoot, and maintain automated test code.
Basic understanding of AWS or another cloud platform preferred.
Experience querying databases for test-data creation and retrieval and evaluating the performance of basic queries.
Experience with test management, source control, CI/CD, and defect reporting tools such as Azure DevOps, Jira, or similar platforms.
Ability to remain current with evolving testing methods, automation frameworks, AI-assisted engineering practices, and responsible AI expectations.
Exposure to external data sources and storage systems, including file shares, databases, object storage, APIs, and flat files.
Hands-on experience creating or maintaining test automation using Playwright, Selenium, or a comparable framework.
Experience using AI-assisted development or testing tools, such as Kiro or comparable coding assistants, to generate, review, debug, or maintain test assets preferred.
Understanding of generative AI limitations and the need to validate AI-generated test cases, code, locators, assertions, test data, and documentation before use.
Familiarity with modern AI-in-testing patterns such as requirements-to-test generation, risk-based test prioritization, agentic workflow validation, synthetic test-data generation, intelligent failure triage, and automation maintenance preferred.
Experience with Playwright MCP, Selenium MCP, Model Context Protocol integrations, or other browser-aware AI automation approaches is a plus.
Ability to review automation code for completeness, maintainability, security, reliable assertions, stable selectors, and alignment with established framework standards.
Demonstrate initiative and innovation.
Strong interpersonal skills.
Strong verbal and written communication skills.