Lead Test Automation Specialist

3 days ago

Sydney, New South Wales, Australia beBeeAutomation Full time $120,000 - $130,000
Senior QA Automation Engineer

DroneShield is seeking a Senior QA Automation Engineer to join our team in Sydney, Australia. The position will report to the Quality Engineering Manager with a dotted line to the Software Engineering Lead.

The role primarily focuses on testing the software features of a high-throughput, real-time data processing system that utilises ML algorithms. We are looking for a Quality Assurance Automation Engineer to work on the quality and reliability of our products at all levels of development.

About the Role:

The primary responsibilities include:

  • Pair with Software Engineers during design and code reviews to identify risks early, review acceptance criteria and requirements, and negotiate practical testability hooks.
  • Design, implement, and maintain scalable test automation frameworks integrated into GitLab CI/CD pipelines, leveraging CMake + Ninja artifacts and Docker-based test environments.
  • Inclusion of static and dynamic analysis tools into CI/CD pipelines.
  • Develop test plans that verify both functional and non-functional performance requirements.
  • Execute System test scenarios in lab environments while ensuring clear boundaries between unit, integration, and system test coverage. Analyse regressions, validate results, and provide sign-off for release builds.
  • Refine test coverage metrics, identifying overlaps across unit, integration, and system tests to ensure efficient and effective testing strategies.
  • Translate platform requirements into a dynamic QA plan, ensuring test coverage evolves alongside the scaling of algorithms, protocols, and frontend features.
Requirements:
  • BS degree in Computer Science, Engineering, or similar technical field of study or equivalent practical experience.
  • Three to five years of Software Quality Assurance experience.
  • Software development experience using Python and (optionally) any of C++, Golang or JavaScript.
  • Proficient in usage of Docker containerisation within Linux environments, including volume management and orchestration for testing environments.
  • Comfortable analysing and testing performance-critical code.
  • Strong scripting skills in Python to build data-driven tests and validation suites.
  • Familiarity with PyTest for functional and system testing, including advanced features like fixtures, parameterisation, and parallel test execution.
  • Strong experience creating and managing automated pipelines in a modern CI/CD toolchain (GitLab is preferred).
  • Familiarity working with Atlassian tools such as JIRA and Confluence.

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