Senior QA Engineer (Cloud Data Security, AI)

TL;DR

Senior QA Engineer (Cloud Data Security, AI): Ensuring the robustness of hirify.global’s platform by leading automation efforts and driving product quality across development phases, with an accent on maintaining and enhancing the quality, reliability, and performance of cloud-native security solutions. Focus on building, enhancing, and maintaining comprehensive test automation frameworks and owning product quality throughout the software development lifecycle.

Location: Onsite in Tel Aviv, Israel

Company

hirify.global is building the security operating model for the age of AI, empowering businesses to accelerate AI adoption by defining a holistic approach to securing AI—from data to access to model.

What you will do

• Maintain and manage cloud environments across AWS, GCP, and Azure to support testing and quality assurance.
• Build, enhance, and maintain test automation frameworks for the platform group, ensuring comprehensive coverage.
• Act as a quality champion, fostering a strong automation culture and driving best practices within the team.
• Collaborate with product managers and developers to validate specifications and align on quality expectations.
• Own product quality throughout the software development lifecycle, from customer feedback to deployment.
• Serve as the go-to expert on product quality, linking customer success, product management, and engineering teams.

Requirements

• 5+ years of experience as a QA Engineer testing complex applications, with at least 2 years focused on UI automation.
• Hands-on experience with Playwright, Cypress, or Selenium.
• Strong proficiency in TypeScript or Python for automation scripting.
• Experience with API automation testing to ensure seamless integrations.
• Strong analytical and troubleshooting skills, with the ability to investigate and resolve complex issues.
• Proficiency in SQL and data validation for thorough backend testing.
• Solid experience in writing and executing detailed test plans and test cases.
• Excellent verbal and written communication skills in English.

Nice to have

• Experience working in cloud environments (AWS, Azure, GCP).
• Background in software security, particularly in cloud-based applications.

Culture & Benefits

• Inclusive and supportive culture with a focus on collaboration, innovation, and agility.
• Commitment to nurturing personal and professional growth for employees.
• Opportunity to contribute to building something special in the data and AI security space.
• Diverse backgrounds, perspectives, and experiences are welcomed.