Junior Manual QA Engineer

Responsibilities: Perform manual testing to validate functionality and usability of features across platforms

Design, develop, and execute test plans, test cases and check lists for web, mobile, and backend applications

Conduct regression, integration, smoke, and exploratory testing as part of the release cycle

Proactively identify risks and propose mitigation strategies early in the development process

Working with an extensive onboarding study program to prove existing skills in practice and fill any gaps in specific knowledge that are corresponded to a Junior QA Engineer

Working together with a mentor and a tech lead on the hard and soft skillset to identify the strengths and keep developing them as a part of the individual development plan

Diving in the powerful QA community. Taking part in community development work

Have fun and enjoy bug-searching processes and improving a software quality

What we offer: Long-term career stability with a competitive salary paid in USD.

Conditions for steady career development.

Development supported by dedicated mentors and a variety of programs focused on expertise and innovation.

Private medical insurance provided after successful completion of the probationary period

A well-equipped and cozy office supports comfort and productivity across all project stages.

Welcoming atmosphere and a friendly corporate culture.

What we expect from you: At least 1 year of hands-on experience with Manual testing of web/mobile applications

Knowledge of testing methods and technologies, understanding of formal software development processes (SDLC).

Basic understanding of testing strategies.

Knowledge about bug-tracking systems and version control systems.

Understanding of client-server architecture.

Basic API testing experience.

SQL basics.

English skills at the upper-intermediate or higher level

Ability to switch quickly between tasks.

Flexible analytical and algorithmic thinking, desire for self-development, persistence in finding solutions, and achieving goals

Will be a plus: Higher education in IT or a related field.

Basic programming or scripting skills.

Automation experience in Java, Python, or another language.

Use of traffic analyzers (Fiddler, WireShark, or others)

Foundational understanding of AI and Large Language Models (LLMs), including their application in automated test generation and defect analysis.

Proficiency in Prompt Engineering, specifically for creating test cases, generating synthetic test data, and refining automated scripts.