About Us

Knostic.ai is transforming how enterprises secure their AI by providing cutting-edge solutions tailored for Large Language Models (LLMs). We are a fast-growing, award-winning cybersecurity startup looking for passionate individuals to join us in shaping the future of AI security.

As a Junior QA Engineer, you will play a key role in ensuring the quality and reliability of our solutions while gaining hands-on experience in a dynamic startup environment. This is an excellent opportunity for someone with a strong attention to detail, a desire to learn, and a passion for delivering high-quality products.

Key Responsibilities

• Execute test plans and cases to ensure the functionality, performance, and reliability of Knostic products.
• Identify, document, and track bugs and issues using bug-tracking tools.
• Collaborate closely with developers, product managers, and senior QA engineers to understand requirements and address issues.
• Perform regression testing to ensure previously fixed bugs don’t reappear in newer versions.
• Help maintain and improve QA processes, tools, and methodologies.
• Test integrations with third-party tools and systems as required.
• Participate in team meetings to share insights, feedback, and updates on QA progress.

Key Requirements

Skills and Experience:

• Up to 2 years of experience in QA engineering or related fields (internships or projects are also acceptable).
• Basic understanding of QA methodologies, tools, and processes.
• Familiarity with bug-tracking tools (e.g., JIRA, Bugzilla) and version control systems (e.g., Git).
• Knowledge of testing in both web-based and cloud environments.
• Experience with basic scripting in JavaScript.

Traits and Qualifications:

• Detail-oriented and methodical, with a focus on delivering accurate results.
• Strong analytical and problem-solving skills.
• Ability to work in a fast-paced, startup environment with evolving priorities.
• Collaborative and open to feedback, with excellent communication skills.
• Passion for learning new technologies and approaches in QA and testing.
• Degree in Computer Science, Engineering, or a related technical field is preferred.

Department

R&D

Locations

Tel Aviv-Yafo