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Описание вакансии
Текст:
TL;DR
QA Architect (AI Security): Leading quality strategy for a dedicated development group building security solutions for data, access, and AI, with an accent on test architecture, automation, integration validation, and release readiness. Focus on designing scalable QA practices, validating Kubernetes-based systems and asynchronous flows, and investigating complex quality issues.
Location: Tel Aviv, Israel
Company
Cyera develops a unified security control plane for protecting data, access, behaviors, and AI adoption in enterprise environments.
What you will do
- Own the quality strategy for a dedicated development group and act as the focal point for QA status, risks, priorities, blockers, and release readiness.
- Define and enforce QA best practices, testing standards, test strategies, and quality processes.
- Lead test planning, execution, regression testing, reporting, integration validation, and release validation.
- Review test plans, test cases, automation coverage, and testing strategies while promoting reliable and expanded automation.
- Partner with engineering, product, DevOps, QA leadership, and executives on quality decisions.
- Mentor automation engineers and investigate complex quality issues hands-on.
Requirements
- 6+ years of experience in QA, QA automation, test architecture, or similar roles.
- 4+ years of hands-on development experience with TypeScript and/or Python.
- Strong experience with manual and automated testing, including API, UI, integration, regression, and end-to-end validation.
- Strong understanding of QA methodologies, test design, defect lifecycles, release processes, and maintainable software engineering practices.
- Experience with Playwright, Cypress, Pytest, or similar automation frameworks.
- Experience testing Kubernetes-based systems, with strong technical understanding of Kubernetes and asynchronous flows.
Nice to have
- Experience in cybersecurity, data security, SaaS, cloud-native, or enterprise software.
- Experience with Docker, microservices, distributed systems, SQL, or backend data validation.
- Experience defining QA KPIs, dashboards, automation metrics, or release quality reports.
Culture & Benefits
- Hands-on quality leadership within a dedicated development group.
- Collaboration with engineering, product, DevOps, QA leadership, and executive stakeholders.
- Opportunity to apply AI tools to improve productivity, quality, debugging, and QA efficiency.
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