Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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В Company hidden четко описана QA-роль в инфраструктуре данных для автономного вождения, но высокий темп работы и отсутствие зарплатных данных мешают оценить нагрузку и компенсацию.
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Высокий темпЗарплата не указанаАктуальный стекСфера ИИПонятные задачи
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Validation and Testing Engineer (AI-powered automotive data products): Designing and executing validation strategies for cloud-based data products and complex data pipelines with an accent on test automation, data integrity, API integrations, and AI-powered testing tools. Focus on developing testing frameworks, identifying root causes of quality issues, and ensuring products meet business, functional, and technical requirements before release.
Location: Jerusalem, Israel; hybrid workplace
Company
hirify.global's Development Infrastructure group builds cloud platforms, data services, and AI-powered tooling used by hirify.global and OEM customers to develop autonomous-driving systems.
What you will do
Design, develop, and execute validation and testing strategies for data products.
Develop and maintain testing tools and integrations between multiple systems, APIs, and cloud-based services.
Create test plans, test cases, test documentation, and automated testing scenarios.
Validate data integrity, accuracy, consistency, and completeness across complex data pipelines and platforms; analyze results and identify root causes.
Use AI-powered tools to optimize testing, improve coverage, and identify quality risks.
Collaborate with Product, Development, Data Engineering, and Operations teams while supporting multiple projects and release readiness.
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
Proven experience in software testing, validation, or quality assurance.
Hands-on experience writing detailed test plans, test cases, and test documentation.
Familiarity with AI tools and technologies and their practical use in testing and validation.
Strong knowledge of SQL, data pipelines, APIs, and cloud-based platforms.
Experience developing or customizing testing tools, automation frameworks, or validation utilities.
Experience validating complex data products and data-driven systems.
Knowledge of Python, scripting, or test automation development, along with strong analytical and troubleshooting skills.
Ability to work effectively in a dynamic, high-pressure environment with aggressive timelines and collaborate across multiple cross-functional teams.
Culture & Benefits
Hybrid work environment in Jerusalem, Israel.
Fast-paced work across multiple teams, projects, and changing priorities.
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