Full Stack QA Engineer
hace 2 semanas
At Genestack, we are tackling the underlying computational and scientific challenges of bioinformatics to provide researchers with software tools that streamline the discovery process and accelerate precision medicine, drug development, and bioinformatics research.
Our platform is already deployed at leading pharmaceutical and consumer goods companies — and this is just the beginning of our journey.
Currently we're looking for a Full Stack QA Engineer to join our team. If you're passionate about quality, eager to grow, and excited to work on meaningful technology within a transformative industry, this could be the perfect opportunity for you.
In this role, you will:
- Take full ownership of assigned tasks within sprints — from designing test cases and choosing most optimal test strategies to executing manual and writing automated tests.
- Develop and maintain robust automated tests for both UI and API layers of our web-based solution.
- Collaborate closely with product and development teams to understand complex requirements and translate them into effective test strategies.
- Contribute to the ongoing improvement of our testing frameworks, pipelines, tools, and QA processes.
We would like you to have:
- 3+ years of experience as a Full Stack QA Engineer with a strong focus on test analysis and design.
- Solid programming skills in Python, with practical experience in writing API/UI tests (knowledge of pytest, requests and Playwright is essential)
- Knowledge of version control systems (e.g., GitHub), understanding of common branching strategies.
- Ability to work efficiently in CLI environments.
- Experience with CI/CD tools, preferably TeamCity.
- Excellent communication and teamwork skills.
- Fluent in English, both written and spoken.
- A genuine interest in life sciences and bioinformatics.
It would be nice for you to have:
- Experience with other programming languages, frameworks and tools, including those for performance testing.
- Experience using data manipulation and analysis tools (e.g., pandas).
- Experience with SQL and NoSQL databases.
- Solid grasp of core concepts in containerization and orchestration technologies, i.e., Docker and Kubernetes.
- Familiarity with cloud platforms (e.g., AWS).
We offer you:
- international team of professionals;
- fully paid sick leaves;
- onboarding and domain training for newcomers;
- flexible work schedule.
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