Our client, a multinational telecommunications technology company, is seeking an Automation AI Tester to work onsite 3-days per week in their office in Plan, TX.

What you'll do:

You'll lead test automation and performance engineering while helping teams apply AI and build agentic workflows that improve software delivery and quality. This role combines hands-on technical leadership with coaching, planning, and collaboration across engineering, product, and delivery teams.


Key responsibilities:

- Define and evolve Avertack's automation, performance, and AI-enabled quality engineering strategy.
- Design and develop maintainable automated test frameworks for UI, API, integration, and end-to-end testing.
- Establish performance engineering practices, including load, stress, endurance, and scalability testing.
- Identify performance bottlenecks and work with engineering teams to diagnose and resolve them.
- Design, build, and implement agentic workflows that automate testing, triage, test-data preparation, defect analysis, or other quality engineering processes.
- Evaluate AI agents, large language models, and orchestration approaches; apply them responsibly with appropriate validation, human oversight, and security controls.
- Integrate automated tests and AI-enabled workflows into CI/CD pipelines and advise on quality gates and release readiness.
- Define quality metrics and reporting for test coverage, reliability, defects, performance, and AI workflow effectiveness.
- Guide test planning, risk assessment, test data management, and environment strategy.
- Collaborate with architects, developers, product managers, and operations teams throughout the software lifecycle.
- Mentor engineers and promote shared ownership of quality.

If you would like to learn more, please reach out to Elite Technical.

Required Skills

Required qualifications:

- 10+ years of experience in software testing, quality engineering, and test automation, including substantial technical leadership.
- Proven experience building and scaling automation frameworks for APIs and web applications.
- Strong programming or scripting skills in one or more languages such as Java, Python, JavaScript/TypeScript, or C#.
- Practical experience with tools such as Playwright, Selenium, Cypress, REST Assured, Postman, JMeter, Gatling, or equivalent.
- Experience designing performance tests, interpreting results, and driving remediation.
- Hands-on knowledge of AI/LLM applications and the ability to build agentic workflows, including tool use, workflow orchestration, and integrating agents with APIs or enterprise systems.
- Ability to evaluate AI-generated results and account for reliability, privacy, security, and human review in AI-enabled workflows.
- Experience with CI/CD systems and integrating automated testing into delivery pipelines.
- Strong understanding of test strategy, software development lifecycle, defect management, and quality metrics.
- Experience leading teams, mentoring engineers, and influencing quality practices across teams.