You will work closely with experienced developers, Product Managers, and Data Scientists, gaining deep technical exposure that serves as an excellent stepping stone toward a future career in FS or BE software engineering.
Key Responsibilities
Automation Development: Design, build, and maintain robust automated testing frameworks and scripts, primarily using Python.
Feature Ownership: Take the lead on creating and executing comprehensive test plans for newly released features, ensuring product stability from day one.
CI/CD Pipeline Management: Monitor daily CI/CD pipelines to catch regressions early, triage failures, and maintain a highly reliable release cycle.
API & Backend Testing: Conduct deep backend validation by interacting with REST APIs, utilizing tools like Postman and internal automation clients.
Cross-Functional Collaboration: Partner directly with the Platform, Product, and Data Science teams to clarify requirements, investigate bugs, and define expected system behaviors.
Continuous Improvement: Actively participate in framework refactoring, workflow improvements, and writing clean, maintainable code.
Currently pursuing a degree in Computer Science, Software Engineering, or Electrical Engineering from a leading university.
Strong programming fundamentals, with practical knowledge of Python (knowledge of Java, C#, or equivalent is a plus).
A proactive mindset with the ability to work independently, take ownership of tasks, and drive them to completion.
Strong communication skills and a team-player mentality.
English – high level, verbal and written.
Desired Skills / Nice-to-Have
Familiarity with relational databases (such as PostgreSQL, MySQL, MSSQL).
Familiarity with cloud environments (AWS, Azure, or GCP) and foundational knowledge of cloud infrastructure.
Hands-on experience with modern QA automation tools like Playwright or Selenium.
Exposure to REST APIs and backend testing methodologies.
Familiarity with Version Control (Git) and CI/CD tools (e.g., GitLab CI).
Understanding of the Page Object Model (POM) design pattern and clean code principles.
An interest in AI and Data Science workflows.
