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Urgent! Software QA Engineer Job Opening In دبي – Now Hiring Tech Unicorn

Software QA Engineer



Job description

Software QA Engineer (Automation & Manual | Azure Ecosystem | AI-driven Testing)Role Overview

We are looking for a passionate, detail-oriented, and highly analytical Software QA Engineer who is equally comfortable in automation and manual testing environments.

You will be part of a high-performing team responsible for delivering high-quality, resilient, and scalable applications.

You'll work closely with engineers, technical project managers, and clients to validate solutions across the full SDLC—from ideation to production monitoring.

Your ability to understand business use cases, leverage modern tools (including AI), and drive end-to-end quality will be critical to success.

Key Responsibilities

  • Own and execute test strategies across manual and automated frameworks.

  • Design, develop, and maintain test automation suites using modern tools and frameworks.

  • Validate functionality, performance, stress tolerance, boundary conditions, and edge cases.

  • Perform thorough regression, integration, system, smoke, and exploratory testing.

  • Use Azure App Insights, Log Analytics, and Application Monitoring tools to validate system health and detect anomalies.

  • Analyze logs and telemetry data to assist in Root Cause Analysis (RCA) and post-mortems.

  • Work in CI/CD and DevOps environments; integrate tests into pipelines.

  • Participate in design and requirement reviews; contribute to test planning and documentation.

  • Drive defect lifecycle using JIRA, perform RCA, and ensure closure with engineering teams.

  • Apply AI-based tools and approaches to optimize testing (e.g., model-based testing, intelligent test case generation, anomaly detection).

  • Create clear, concise, and thorough documentation including test cases, test plans, and QA reports.

  • Engage with cross-functional stakeholders including TPMs, engineers, and clients to understand application use cases and ensure high-quality deliverables.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science.

  • 3–6 years of QA experience across both manual and automation.

  • Proven experience testing applications deployed to production and understanding the full software development lifecycle.

  • Hands-on with automation frameworks like Selenium, Cypress, Playwright, or Robot Framework.

  • Strong understanding of QA techniques including boundary value analysis, equivalence partitioning, and negative testing.

  • Experience using tools such as Postman, JMeter, Apache Bench, Azure Load Testing, or BlazeMeter.

  • Expertise in monitoring and observability using Azure App Insights, Azure Monitor, or Log Analytics.

  • Understanding of modern DevOps workflows, CI/CD pipelines, and integration of QA into the build lifecycle.

  • Experience with JIRA, Azure DevOps, or similar platforms for defect management and test cycle tracking.

  • Familiarity with AI-based testing tools or AI-enhanced QA practices is a strong plus.

Preferred Azure & Tool Certifications

  • Microsoft Certified:
    Azure Fundamentals (AZ-900)
  • Microsoft Certified:
    Azure DevOps Engineer Expert
  • Microsoft Certified:
    Azure Administrator Associate
  • ISTQB Certified Tester – Foundation or Advanced Level
  • Familiarity with GitHub Copilot, Azure OpenAI, or is a plus

Key Attributes

  • Strong analytical and logical reasoning skills.

  • Excellent interpersonal and communication skills—able to work cross-functionally with engineers, TPMs, and clients.

  • High attention to detail and quality.

  • Passionate about continuous learning and quality engineering best practices.

  • Proactive and collaborative mindset; thrives in fast-paced, dynamic environments.

Toolset Exposure (Preferred)

  • Automation
    : Cypress, Selenium, Playwright, TestCafe, Robot Framework
  • Load/Stress Testing
    : JMeter, K6, BlazeMeter, Azure Load Testing
  • Monitoring & Observability
    : Azure Monitor, App Insights, New Relic, Datadog
  • Logging & RCA
    : Azure Log Analytics, Kibana, Seq
  • CI/CD
    : Azure DevOps, GitHub Actions, Jenkins
  • Defect Tracking
    : JIRA, Azure Boards
  • AI/ML in QA
    : Mabl, , Copilot, or internal LLM-based testing utilities


Required Skill Profession

Other General



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