Python Quality Assurance Engineer

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Interested in applying your development skills to help in this and future pandemics?

We are a non-profit organization looking for a Volunteer Python Quality Assurance Engineer to join our team and help us develop our product for the global good. We are developing a new, flexible, sophisticated but easy-to-use object-oriented holistic framework for modeling infectious disease risk, transmission & spread, along with a web app. We have a >30,000 line Python code base with many unit tests, but we have a backlog of QA & tests that are needed. Going forward, you will be essential in keeping our Test-Driven Development (TDD) on track. We have multiple areas in which QA is needed, and you may specialize in one or more of those:

• Mathematical/Numerical Modeling & Statistical Methods for Public Health/Epidemiology
• Machine Learning / Probabilistic Programming
• Web User Interface & API
• Database & Data processing
• Framework Core classes
• API Security

Responsibilities

You will apply your expertise in Python to improve upon our code:

• Reviewing implementation & test code & documentation
• Refactoring existing code (potentially)
• Testing: Automated (writing, verifying & running unit & integration tests) & Manual
• Assuring good test coverage
• Writing/Updating code documentation
• Coordinating with others
• Documenting issues clearly

Requirements

Experience as a Python Developer and/or Test/QA engineer (preferably of frameworks)

Strong knowledge of Python (versions 3.8-3.10), including most language features, such as:

• MetaClasses
• Decorators (all types) & Context Managers
• Proxy Classes
• Generators (including Asynchronous)
• Multithreading & multiprocessing
• Standard library, especially unittest

Know how to write a Mock

Proficient with Git

Knowledge of Torch or NumPy and numerical modeling & analysis

Data Science and/or User Interface (UI) development/testing experience preferred,

including UI testing with selenium

Pyro or other probabilistic programming language (PPL) knowledge a plus

Public health, epidemiology, medical or statistics & scientific knowledge (strongly preferred)

Database development experience preferred

Knowledge of reStructuredText and SymPy preferred

Familiarity with Docker a plus

Ability to follow a high-paced Agile, test-driven development process, working on a small team

Adaptable

Reliable

Team spirit

Good problem-solving skills

Willingness to be involved in and commit to a volunteer assignment

Location

Fully remote