Would you like to use your programming skills to save lives? Read on to know how!
We’re partnering with a genomics company with a focus on interpreting genetic diseases. Their product is a next-generation, genomics intelligence platform that incorporates the most advanced artificial intelligence technologies to streamline the interpretation and evidence presentation process. By using this tool, healthcare providers can offer individualized care to more patients.
This is not a traditional QA role. We are seeking a highly skilled software engineer with a strong foundation in Python and advanced software engineering concepts to design and build a domain-specific language (DSL) for automating complex testing scenarios. This role focuses on engineering solutions, not just writing test scripts, and requires a deep understanding of Python’s advanced features and modern software design.
In our collaboration model, you will work and communicate directly with the development team on the client side.
What you’ll do in this role
- Architect and implement a custom automation framework that extends beyond traditional test scripts, including designing a DSL for automating manual test workflows.
- Drive the development of advanced testing solutions leveraging Python’s core features such as metaprogramming, decorators, hooks, and concurrency.
- Develop scalable and maintainable test frameworks and integrate them into a robust CI/CD pipeline.
- Collaborate with development and product teams to review specifications (SRS) and ensure test automation aligns with system design and product goals.
- Optimize performance and reliability of test execution across APIs, databases, and microservices.
- Develop strategies to increase automation coverage across multiple layers, including integration and system-level testing.
- Mentor team members in advanced Python techniques, best practices, and automation design patterns.
- Continuously analyze and improve testing workflows and processes for greater efficiency and scalability.
We’re looking for
- 10+ years experience in QA.
- 5+ years of software engineering experience with at least 3+ years of advanced Python development, including experience with metaprogramming, concurrency (e.g., asyncio, threading), and Python internals.
- Expertise in building frameworks with pytest, including advanced use of hooks, fixtures, and plugins.
- Strong understanding of REST API testing, including schema validation, HTTP protocols, and error handling.
- Proficient in RDBMS concepts, preferably MySQL, including schema design, query optimization, and performance tuning.
- Hands-on experience with CI/CD pipelines and automation tools (e.g., Jenkins, GitHub Actions).
- Familiarity with cloud platforms such as AWS and cloud monitoring tools like CloudWatch.
- Strong understanding of Agile methodologies and experience working in a fast-paced, iterative development environment.
- Exceptional problem-solving and analytical skills with a focus on system-wide impact and performance optimization.
How to knock our socks off
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Experience with designing domain-specific languages (DSLs) or other advanced automation frameworks.
- Familiarity with containerized environments (e.g., Docker, Kubernetes) and distributed systems testing.
- Experience with SaaS-based testing solutions and large-scale data processing systems.
- Naming five or more dishes that include beetroot, besides borsch.
✔ Not checking every box?
This job looks very exciting, but you hesitate to apply because of the confidence gap? Reach out to us anyway! Beetroot is an inclusive workplace that considers all applicants. Equality is one of our core values. We’re committed to providing equal opportunity and a sense of belonging for all Beetroot consultants and candidates. So let’s discover together whether we could be an excellent fit for each other.