Quality Engineer Python

Design and implement QA test automation infrastructure and test scenarios for clientwebbackend systems, including communication between front-end applications, APIs, backend services, and databases.

Develop and execute end-to-end (E2E) automated tests for web applications and APIs, validating new features and ensuring system stability across services.

Develop and maintain automation frameworks, test utilities, and internal testing tools using Python.

Collaborate with development and QA teams to ensure high test coverage, automation stability, and scalable test infrastructure.

Learn and adopt new technologies, tools, and monitoring platforms in a relatively short amount of time (e.g., Datadog, , or similar platforms).

Bachelors degree in Computer Science, Engineering, or another exact science field.

5+ years of experience as a Python developer or automation developer, preferably in a Linux environment.

Experience working with automation frameworks such as Pytest, Robot Framework, or Cucumber.

At least 2 years of experience working with Selenium, demonstrating proficiency in automating browser-based applications.

Strong experience with REST API automation testing and a deep understanding of REST API principles.

Familiarity with web technologies including HTTP, REST, HTML, JavaScript, and APIs.

Good understanding of SQL databases such as MySQL, MSSQL, or similar relational databases.

Experience working with source control systems such as Git, TFS, or similar tools.

Experience working in cloud environments such as AWS, GCP, or Azure.

Advanced English (written and spoken).

Experience developing automation infrastructure or internal testing frameworks.

Experience working within a Linux environment with scripting skills (Bash/Shell).

Experience building or working with CI/CD pipelines and understanding the automation development lifecycle (Jenkins, GitHub Actions, Azure DevOps, or similar platforms).

Experience working with monitoring and visualization tools such as Datadog, , or Tableau.

Experience with mobile automation testing and familiarity with Appium.

Experience working with containerized environments such as Docker.

Experience designing scalable automation frameworks for web and API testing.

Experience building AI agents that interact with test infrastructure high advantage.

Experience integrating LLMs with CI/CD pipelines to review automated test results, generate test execution reports, and suggest potential fixes or root-cause insights for failed tests high advantage.

Experience using AI for test and UI analysis, including screenshot analysis, accessibility tree analysis, and log analysis high advantage.

Familiarity with AI APIs or platforms (e.g., OpenAI, AWS Bedrock, Anthropic, or similar LLM services) to support QA automation workflows.