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

Bachelor’s 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