Junior QA Engineer (Manual / Automation)

Job Description:
We are looking for a proactive Junior QA Engineer to join our team and help ensure the quality of our cloud-based platform. This role combines manual and automated testing, so we're looking for someone who thinks critically, takes ownership of tasks, and is resourceful in finding solutions.
We value curiosity, initiative, good communication, and a collaborative mindset. We're looking for someone who can work through challenges independently, contribute to the team, and use modern tools, including AI, to work more efficiently.

Responsibilities:
Test new features, perform regression and exploratory testing.
Develop and maintain automated tests to cover newly implemented features and existing functionality.
Design, write, and maintain manual test cases.
Identify, investigate, and clearly report bugs.
Analyze requirements, identify potential risks, and think beyond expected scenarios.
Take ownership of assigned tasks, investigate challenges, and communicate progress or blockers.
Collaborate with developers and other team members to improve product quality.
Use AI tools to accelerate test development, automate routine tasks, and improve testing efficiency.
Suggest improvements to testing approaches and QA processes.

Requirements:
Practical experience with Python, pytest, and Playwright for test automation.
Ability to write, execute, debug, and maintain automated tests.
Understanding of software testing fundamentals, SDLC, and Agile methodologies.
Knowledge of test design techniques and experience writing test cases and bug reports.
Understanding of REST API testing, HTTP methods, status codes, and response validation.
Familiarity with Git and basic CI/CD concepts.
Basic understanding of OOP and writing clean, maintainable code.
Strong analytical thinking, attention to detail, and problem-solving skills.
Resourcefulness and willingness to research problems independently before seeking guidance.
Good communication skills, a positive attitude, and the ability to work well in a team.
Interest in using AI tools to improve productivity and solve technical challenges.

Nice to Have:
Understanding of Docker and cloud platforms (AWS, Azure, GCP, Oracle).
Personal or academic projects involving manual or automated testing.
Experience using AI coding assistants such as Claude Code, Cursor, ChatGPT, etc.

What We Offer:
Opportunity to grow in a product company and develop both manual and automation QA skills.
Experience working with cloud technologies and DevOps solutions.
Supportive, collaborative team with room for initiative and new ideas.
Competitive salary and benefits package.
Medical insurance and sports compensation.
Flexible working hours.