QA Automation Engineer (821885)

We are looking for a QA Automation Engineer to help us take our product reliability and R&D velocity to the next level.

Responsibilities:

• Design, develop, and maintain automated test scripts for both front-end and back-end applications.

• Collaborate with development, QA, and product teams to understand requirements and translate them into test cases.

• Document and report test results, and work with developers to resolve issues.

• Participate in code reviews and provide feedback to improve code quality and testability.

• Experience with web and desktop apps, Windows and Linux, Docker, Redis, AWS, SQL and NoSQL databases like MongoDB.

• Research new technologies, analyze and troubleshoot complicated workflows to design testing and identify faulty components in a complex system.

Requirements:

• Bachelor's degree in computer science, Engineering, or a related field.

• 3-4 years of experience in Software testing or relevant experience gained through military service.

• Strong knowledge of automation testing tools and frameworks (e.g., Selenium, Cypress, JUnit, TestNG).

• Proficiency in programming languages such as Java, JavaScript, Python, or similar.

• Familiarity with version control systems (e.g., Git).

• Experience with database management systems such as MySQL, PostgreSQL, MongoDB, or similar is required.

• Experience with SQL, NoSQL, Postgres, and Oracle databases, including writing queries, data manipulation, and ensuring data integrity.

• Excellent problem-solving skills and attention to detail.

•Strong communication and collaboration skills.

• Ability to work in an agile development environment.

• Ability to communicate effectively in English, both verbally and in writing.

Preferred Qualifications:

• Proven experience as a manual tester for complex products.

• Experience with performance testing tools (e.g., JMeter, LoadRunner).

• Experience with CI/CD tools (e.g., Jenkins, GitLab CI, CircleCI).

• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).

• Experience with test management tools (e.g., JIRA, Xray, Zephyr)