Performance & Automation Engineering Lead – BRIM & AI

Computer Task Group, IncDallas, TX
Onsite

About The Position

CTG is seeking an experienced Performance & Automation Engineering Lead – BRIM & AI to support our client’s enterprise quality engineering initiatives. This role is ideal for a senior-level engineering professional with deep expertise in BRIM performance testing, automation frameworks, and AI-driven testing solutions. The selected candidate will lead automation and performance engineering efforts focused on ensuring application scalability, reliability, and operational excellence.

Requirements

  • Mandatory AI testing and automation experience.
  • Strong BRIM performance testing expertise.
  • Experience with automation tools such as Tosca, Selenium, Playwright, Cypress, or Appium.
  • Experience with performance testing tools including JMeter, LoadRunner, or k6.
  • Proficiency in Java, Python, and/or JavaScript.
  • Familiarity with monitoring and observability tools such as Prometheus, Grafana, and Dynatrace.
  • Strong understanding of CI/CD pipelines and DevOps environments.
  • Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Nice To Haves

  • 8+ years of experience in automation testing, quality engineering, or performance engineering.
  • Experience leading enterprise-scale testing initiatives.
  • Strong analytical, troubleshooting, and communication skills.
  • Experience working in Agile/Scrum environments.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field preferred, or equivalent experience.
  • Relevant certifications in automation testing, performance engineering, cloud technologies, or AI technologies are a plus.

Responsibilities

  • Lead enterprise automation and performance testing initiatives for BRIM applications and related platforms.
  • Design and implement scalable automation frameworks and AI-enabled testing solutions.
  • Conduct load, stress, endurance, and scalability testing using industry-standard performance tools.
  • Collaborate with development, DevOps, QA, and infrastructure teams to optimize application performance.
  • Integrate automated testing into CI/CD pipelines and Agile development workflows.
  • Analyze system metrics, performance bottlenecks, and testing results to drive continuous improvement.
  • Establish testing standards, best practices, and governance across engineering teams.
  • Mentor team members on automation engineering, performance testing methodologies, and AI-assisted testing practices.
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