QA Automation Team Leader


Our Team’s mission statement

SparkBeyond has built an AI-powered research engine, capable of finding complex patterns in data by understanding their meaning. Operating at the intersection of Data Science and Artificial Intelligence fields, our Machine Learning technology is so ground-breaking that it’s been referred to as science fiction on multiple occasions.

We are looking for a QA Automation team leader who wants to lead, create an impact and work with top notch talents to join us

Job Description

What will you do?

  • Work with top talents in the Artificial Intelligence industry
  • Lead automation test team to define test strategy, involve in architect test automation best practices, design, create, execute and debug automation tests
  • Experience in the modern software development process, testing methodologies, QA terminology, and process
  • As part of a continuous improvement, review and revise, as necessary, the quality assurance objectives and processes, including definition and implementation of the environment and infrastructure of quality assurance
  • Serve as a leader and provide guidance and influence to other engineers on how to effectively execute testing processes
  • Participate in product design reviews to provide input on functional requirements, product designs, schedules, or potential project risks

What will you need?

  • BS in Computer Science, Electrical Engineering, or related technical discipline
  • Previous experience in managing QA automation team and demonstrated success managing complex initiatives
  • 5+ years of experience in Object-oriented design and coding experience with at least one of the following: Java, Python, Scala, C#
  • Must be a detail-oriented, organized, self-starter, and have an ability to prioritize workload
  • Experienced with automating UI (cypress) , APIs and back-end processes (python)
  • Experience in design and development of Test automation framework and test scripts.
  • Experience working with CI/CD cycle, Agile methodology and DevOps pipeline with Jenkins, Helm, GIT
  • Requires excellent analytical ability, consultative and communication skills, and the ability to work effectively with business and IT management and staff
  • Multi-tasking capabilities, readiness to take on challenges, willingness to learn
  • Experience in Artificial Intelligence / Machine Learning / Algorithmic components automation - advantage

Apply today

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