QA Automation Engineer

Greenberg Traurig (GT) a global law firm with locations across the world in 15 countries has an exciting employment opportunity for you. We offer competitive compensation and an excellent benefits package along with the opportunity to work within an innovative and collaborative environment.

Join our Technology Team as a QA Automation Engineer located in various offices.

We are seeking a professional who thrives in a fast-paced deadline-driven environment. The ideal candidate possesses strong problem-solving and decision-making abilities ensuring efficiency and accuracy in every task. With a dedicated work ethic and a can-do attitude you will take initiative and approach challenges with confidence and resilience. Excellent communication skills are essential for collaborating effectively across teams and delivering exceptional client service. If you are someone who demonstrates initiative adaptability and innovation we invite you to join our team.

This role can be based in various offices on a hybrid basis. This role reports to the Quality Assurance Manager.

Position Summary

The QA Automation Engineer designs develops and maintains automated test solutions that improve software quality reduce manual effort and support reliable releases. This role partners with QA development business analysis project management and DevOps teams to build scalable test coverage across functional regression integration and API testing. The role also uses AI-assisted tools to accelerate test design execution maintenance and analysis. The ideal candidate combines strong automation skills with analytical thinking attention to detail sound judgment and a continuous improvement mindset to use AI responsibly and effectively throughout the software quality lifecycle.

Key Responsibilities

• Designs develops and maintains automated test frameworks and reusable scripts for web API and integrated systems
• Reviews business and technical requirements to identify test scenarios acceptance criteria automation opportunities and where AI-assisted design can improve speed and coverage
• Uses AI-assisted tools to create and maintain test cases data and scripts with appropriate review for accuracy and coverage
• Executes regression functional smoke integration and API tests to validate quality and release readiness
• Tests AI-powered applications and agents across prompts scenarios and edge cases to confirm accuracy reliability consistency and expected behavior
• Evaluates AI-generated outputs against expected results and identifies inaccuracies inconsistencies or misleading responses
• Analyzes test results investigates failures documents defects and uses AI-enabled insights to speed triage root cause analysis and retesting
• Integrates automated tests into CI/CD pipelines to provide fast reliable feedback during builds and deployments
• Maintains test data environments automation assets and AI-generated artifacts to support stable repeatable and auditable execution
• Tracks quality metrics such as coverage defect trends pass/fail rates automation effectiveness and the impact of AI-assisted testing
• Ensures AI use in testing complies with governance data protection and responsible AI standards
• Continuously improves automation frameworks QA processes and supporting tools to increase efficiency governance and overall effectiveness
• Creates and delivers presentations for technical business and leadership audiences
• Participates on camera in meetings with colleagues business partners and vendors when appropriate
• Performs other duties as assigned by the QA Manager

Qualifications

Skills & Competencies

• Working knowledge of API testing test data management defect tracking version control and CI/CD practices
• Proficiency in one or more programming or scripting languages.
• Understanding of the software development lifecycle Agile methodologies and quality assurance best practices
• Strong troubleshooting problem-solving and analytical skills
• Strong written and verbal communication skills with the ability to collaborate across technical and business teams
• Knowledge of performance security accessibility or risk-based testing practices preferred

Education & Prior Experience

• Bachelors degree in Computer Science Information Technology Engineering or a related field or equivalent practical experience
• Experience in software quality assurance including hands-on test automation development
• Experience with test automation tools and frameworks
• Experience integrating automated tests into CI/CD tools such as Azure DevOps Jenkins GitHub Actions or similar platforms preferred
• Experience using generative AI or intelligent assistants to support test design documentation defect triage or automation maintenance preferred
• Experience testing enterprise applications cloud-based platforms or complex multi-system workflows preferred
• Experience working in enterprise environments or regulated industries preferred

Technical Skills

• Automation & Testing: UI and API automation regression smoke and integration testing test framework design defect management and AI-assisted test maintenance
• Tools & Platforms: Selenium Azure DevOps Jira and similar automation and delivery tools
• Quality Engineering Practices: Prompting for test design review of AI-generated artifacts test data generation CI/CD risk-based testing root cause analysis test reporting governance and continuous improvement

GT is an EEO employer with an inclusive workplace committed to merit-based consideration and review without regard to an individuals race sex or other protected characteristics and to the principles of non-discrimination on any protected basis.