Description:
As a Test/QA Engineer, you need to be able to understand the product and client requirements so as to test the product in extreme scenarios and corner conditions. Knowledge in NLP, LLM, AI, and healthcare will help you understand the product better and in turn write better test cases and documentation.
Key Responsibilities
- Performing best practices and software testing standards, defect management & reporting, testing concepts and test management tools.
- Setting up new and robust pipelines (e.g. CI/CD) and processes when necessary.
- Performing all aspects of testing including writing test planning documentation, executing testing tasks, analyzing test results and documenting defects.
- Tracking issues, managing priorities of them, and fixing them collaboratively with relevant stakeholders.
- Developing test plans and test strategies, and experience designing based on high-level requirements or use cases.
- Strong understanding of quality practices and ability to apply proven QA techniques including requirement traceability, boundary value analysis and application stability/usability.
- Influencing constructively and positively to the team on the best practices of development and quality assurance.
Requirements
Personal Traits:
- A strong intuition for what makes products a joy to use.
- Empathy for how different users will need different things out of a product at different stages, and how to effectively serve these different needs in one product.
- Strong communication and mediation skills.
- Strong people skills and the ability to engage all levels of the organization (especially the front line).
- Ability to work collaboratively in a team environment with different expertise.
- Ability to communicate complex ideas effectively, both verbally and in writing, in English.
- A strong software engineering background with testing and quality assurance expertise to understand how the user facing product will tie into backend and architectural decisions.
Technical Skills:
- With university qualification (Bachelors, Masters, Doctorate) who have completed at least two years of university study in Computer Science, Informatics, Engineering or related.
- Work experience in testing and quality assurance and relevant tools like Azure DevOps and GitHub Actions.
- Work experience in CI/CD and the setup of relevant pipeline and processes.
- Work experience on general programming languages: Python, Shell, C++, Java, etc.
- Work experience with working in Linux and Microsoft Azure.
Nice to Have:
- Experience with deep learning, machine learning and NLP frameworks such as PyTorch, HuggingFace Transformer, Scikit-learn.
- Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on-prem environments.