Software Quality Analyst

Quality Engineering Professional

***This is a hybrid role requiring you to report to the Memphis, TN office 2 days/week***This role has potential to convert to a full-time position with Hilton starting January 1, 2027

Must Have Skills:

• 2+ years experience with messaging/IVR testing
• 4+ years experience building and deploying CI systems such as Jenkins and Bamboo
• 5+ years experience in test automation development using established frameworks and tools
• 5+ years experience with REST and JSON APIs
• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience
• ISTQB or equivalent software testing certification is a plus

Job Summary:

We are seeking a highly skilled and motivated quality engineering professional to join our dynamic team. In this role, you will be responsible for designing, developing, and executing automated testing solutions across a broad range of platforms and technologies, including APIs, microservices, and user interfaces. You will play a critical role in advancing our AI-enhanced engineering pipeline, contributing to enterprise-level test automation frameworks, and ensuring the highest standards of software quality. This is an exciting opportunity for a hands-on engineer who thrives in a fast-paced, collaborative environment and is passionate about delivering reliable, scalable, and innovative testing solutions.

Responsibilities:

• Design, develop, and deliver automated API and UI testing using Java with WebDriver and TestNG, as well as services testing using Groovy scripting with JMeter, SoapUI, and ReadyAPI
• Build and implement SQL queries and validate databases using automation tools
• Perform Microservice and REST API testing and automation, leveraging Swagger documentation for API validations
• Conduct Kafka topic and consumer validations
• Apply AI-enabled quality engineering techniques to support debugging, test case generation, and risk analysis to help advance the AI-enhanced engineering pipeline
• Utilize Jenkins, Maven, Git, and Stash for continuous integration and version control of automation artifacts
• Build and deploy CI automation pipelines using Jenkins and Docker
• Leverage Selenium Grid for parallel execution of test cases across multiple browsers
• Develop feature files using Gherkin language for Behavior-Driven Development
• Contribute to Enterprise Test Automation Frameworks as needed
• Provide accurate estimates for test strategy, design, and execution work
• Document, communicate, and escalate test results and defects in a timely manner
• Perform Messaging and IVR testing as required
• Coordinate activities between US and remote testing teams as needed
• Apply critical thinking to translate complex application flows into comprehensive test cases
• Conduct performance testing of APIs using NoSQL databases and performance testing tools

Skills:

• Strong experience with test automation using Selenium, ReadyAPI, and Rest Assured
• Proficiency with testing frameworks and tools including JUnit, TestNG, Appium, Cucumber, and Postman
• Hands-on coding ability in Java, JavaScript, and SQL for full solution stack automation, including UI, application layer, REST API, and web services
• Experience with Atlassian tools including Jira, Stash, and Bamboo for project management and defect tracking
• Proficiency with Groovy scripting for use with JMeter, SoapUI, and ReadyAPI
• Experience with Kafka topics and consumer validations
• Knowledge of cloud-based web application architecture with emphasis on AWS Cloud
• Experience using Selenium Grid for parallel test execution across multiple browsers
• Knowledge of Extent Reports 2.0 and Eclipse IDE for developing automation scripts
• Familiarity with NoSQL databases such as Couchbase, and performance testing tools such as JMeter and BlazeMeter
• Detailed understanding of concurrency, threading, algorithms, and data structures
• Front-end UI knowledge including HTML, CSS, and JavaScript
• Strong problem-solving and analytical skills with a data-driven approach
• Knowledge of deployment technologies and CI/CD systems including Jenkins and Docker