Test​/QA Engineer

About Pangaea Data Limited

Pangaea Data (Pangaea) is a South San Francisco and London‑based business founded by Dr Vibhor Gupta and Prof Yike Guo (Director of the Data Science Institute at Imperial College London; Provost, Hong Kong University of Science and Technology). With over 20 years of experience in medicine and computing, Pangaea has raised over $300 million through academic research, including a $110 million grant focused on developing large language models for medicine.

The company’s AI platform, PALLUX, is configured on clinical guidelines to identify untreated, undiagnosed, under‑coded, or at‑risk patients with hard‑to‑diagnose conditions for screening and treatment at the point of care. Pangaea’s advisors include industry leaders such as Lord David Prior (former chairman, NHS England) and Mr. Andy Palmer (former CIO, Novartis).

As a Test/QA Engineer, you will understand product and client requirements to test the product in extreme scenarios and corner conditions. Knowledge of NLP, LLM, AI, and healthcare will help you write better test cases and documentation.

• Perform best practices and software testing standards, defect management & reporting, testing concepts and test management tools.
• Set up new and robust pipelines (e.g., CI/CD) and processes when necessary.
• Execute all aspects of testing, including writing test planning documentation, analyzing test results, and documenting defects.
• Track issues, manage priorities, and address them collaboratively with stakeholders.
• Develop test plans and test strategies based on high‑level requirements or use cases.
• Apply proven QA techniques including requirement traceability, boundary value analysis, and application stability/usability.
• Influence constructively and positively the team on best practices of development and quality assurance.

Personal Traits:

• Strong intuition for what makes products a joy to use.
• Empathy for how different users need different things at different stages, and how to serve these 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 ties into backend and architectural decisions.

• Bachelor’s, Master’s, or Doctorate with at least two years of university study in Computer Science, Informatics, Engineering, or related field.
• Experience in testing and quality assurance and relevant tools such as Azure Dev Ops and Git Hub Actions.
• Experience in CI/CD and the setup of relevant pipelines and processes.
• Experience with programming languages:
  Python, Shell, C++, Java, etc.
• Experience working in Linux and Microsoft Azure.

• Experience with deep learning, machine learning, and NLP frameworks such as PyTorch, Hugging Face Transformers, and scikit‑learn.
• Experience with multiple cloud platforms such as AWS, Google Cloud Platform, Oracle, NVIDIA, or on‑prem environments.

• Flexible working hours
• Salary dependent on experience
• Package of attractive benefits including private medical insurance and monthly travel card
• Opportunity to grow and develop your professional skills and profile within a dedicated, highly renowned team
• Opportunity to learn about building a startup business from experienced professionals and serial entrepreneurs

Your application should include a CV and cover letter highlighting your relevant experiences and motivations. Please send this to careers.

Pangaea Data is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

Entry level

Full-time

Engineering and Information Technology

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