QA Engineer - Beer Sheva

Description

We are seeking a QA Automation Engineer with strong Python skills to join our dynamic QA team. In this role, you will design and implement automated test frameworks, execute manual and automated testing, and ensure the quality of our AI-driven SaaS product. You’ll work closely with developers and product teams, gaining exposure to cloud technologies, AI workflows, machine learning pipelines, and enterprise-grade software testing.

We follow Agile methodology, working in time-boxed sprints and managing tasks with clear timelines to ensure iterative delivery and continuous improvement.

What You’ll Do

• Develop and maintain Python-based test automation scripts and frameworks.
• Perform manual testing for new features and regression cycles.
• Validate integrations with Azure services, APIs, and microservices.
• Collaborate with developers and product teams to ensure high-quality releases.
• Analyze test results, report defects, and contribute to continuous improvement.
• Participate in test planning, risk analysis, and quality metrics reporting.
• Drive test coverage improvements and advocate for automation best practices.
• Work on AI model validation, prompt testing, and data-driven quality checks.

Requirements

• Minimum 2 years of experience in QA or software testing.
• Strong Python programming skills – mandatory.
• Familiarity with AI concepts and prompt engineering – mandatory.
• Strong analytical skills, attention to detail, and problem-solving mindset – mandatory.
• Relevant degree in Computer Science or related field – advantage.
• Familiarity with SaaS architecture and Azure cloud – advantage.
• Knowledge of test automation tools, API testing, and CI/CD pipelines – advantage.
• Ability to work in a fast-paced environment and adapt to changing priorities.
• Excellent communication skills and a collaborative attitude.

Nice to Have

• Experience with Selenium, Playwright, or similar frameworks.
• Understanding of Docker, Kubernetes, or containerized environments.
• Exposure performance testing and security testing.
• Familiarity with Git, Jenkins, or other CI/CD tools.
• Knowledge of RESTful APIs and JSON-based integrations.

Experience with AI model evaluation, data validation, or ML testing frameworks

Why Join Us?

• Work on cutting-edge AI-driven SaaS solutions.
• Be part of a collaborative and innovative team shaping the future of AI quality.
• Opportunities for professional growth and learning in AI and automation.
• Flexible work environment and competitive benefits.