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QA Team Lead

Datos Health·ישראל·en
לא צויןמשרה מלאהQA & Test Automationhealthcare

An established healthcare platform is hiring a QA Team Lead to lead QA and Support teams and own testing strategy, automation, deployments, escalations, and technical release management.

תחומי אחריות

  • Lead, mentor, and develop QA and Support teams.
  • Define testing strategy, quality standards, risk-based coverage, and release quality gates.
  • Own smoke, sanity, regression, API, integration, end-to-end, exploratory, and acceptance testing.
  • Set the automation roadmap and use AI tools to generate and maintain automated tests while reviewing and validating generated code.
  • Manage Support priorities and resolve escalations involving QA and Development.
  • Coordinate critical production investigations with clear evidence, ownership, and communication.
  • Manage customer deployments, including readiness, version validation, execution, and post-deployment checks.
  • Manage technical releases, including version cuts, release branches, tags, builds, and QA-approved commits.
  • Collaborate with Development, DevOps, Product, Customer Success, and leadership to improve quality and operational processes.

דרישות

  • At least 5 years of QA or Quality Engineering experience, including at least 2 years as a QA Team Lead, Technical Lead, or equivalent.
  • Deep expertise in test design, risk-based testing, automation, API and system testing, and release quality.
  • Practical experience using AI coding tools to design, generate, review, and maintain automated tests.
  • Programming knowledge sufficient to troubleshoot generated code and identify missing scenarios, weak assertions, and unreliable tests.
  • Experience with CI/CD, production investigations, deployments, or technical releases.
  • Demonstrated team leadership, mentoring, process improvement, and cross-functional communication skills.
  • Strong written and verbal English, ownership, independent execution, and follow-through.

יתרון

  • Experience managing Support teams, cutting product versions, or establishing AI-driven QA workflows.
  • Experience with SaaS, cloud, mobile, healthcare, regulated products, integrations, or customer-specific deployments.

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