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Senior QA Automation Engineer

EasySend

EasySend

Software Engineering, Quality Assurance
Tel Aviv-Yafo, Israel
Posted on May 14, 2025

Senior QA Automation Engineer

  • R&D
  • Tel Aviv
  • Senior
  • Full-time

Description

Senior QA Automation Engineer

EasySend is a no-code platform for building and optimizing digital customer journeys. We transform paperwork-based processes in insurance, banking, and financial services into streamlined, engaging digital experiences.

We are looking for a Senior QA Automation Engineer to drive quality across our SaaS platform through robust automation strategies. This is a hands-on role embedded within the R&D department, focused on building, maintaining, and scaling automation frameworks—including the use of Playwright and AI-enhanced testing approaches.

Responsibilities

  • Design, implement, and maintain automated testing frameworks for frontend and backend components
  • Integrate AI-based tools and practices to enhance test coverage and efficiency
  • Collaborate with developers, product managers, and other QA engineers to define quality standards
  • Analyze requirement specifications and develop corresponding test plans
  • Write and execute UI, API, and integration tests using modern frameworks and tools
  • Identify, document, and track bugs, ensuring high product reliability and performance
  • Contribute to continuous integration and delivery (CI/CD) workflows and tooling

Requirements

  • 5+ years of experience in software QA automation
  • Strong hands-on experience with Playwright, Python or similar UI automation tools
  • Experience with API testing (REST, WebSocket)
  • Proficiency in scripting and test development in cloud-native environments
  • Solid understanding of QA methodologies, best practices, and test lifecycle
  • Familiarity with CI/CD tools (e.g., CircleCI, Jenkins, GitHub Actions, ArgoCD)
  • Strong analytical and problem-solving skills
  • Self-motivated and able to work independently in a fast-paced environment

Nice to Have

  • Experience incorporating AI/ML tools into the QA process (e.g., for test prioritization, anomaly detection, or visual validation)
  • Experience with GitOps and infrastructure-as-code concepts
  • Exposure to performance and load testing tools