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BlackStone eIT

System integrator delivering AI-enabled digital transformation

QA/QC Engineer

Manual & Functional QAPosted on Nov 12
Full-timeDubai - United Arab EmiratesNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Engineering, or a related field is required.
  • At least 5 years of QA/QC or software testing experience across application and digital projects is required.
  • Strong experience in functional, integration, regression, system, and user acceptance testing is required.
  • Understanding of the software development life cycle, software testing life cycle, defect management, and QA methodologies is required.
  • Experience testing APIs, integrations, workflows, and digital platforms is required.
  • Exposure to AI, automation, or intelligent technology projects is required.
  • Strong analytical and problem-solving skills are required.
  • Ability to understand business requirements and translate them into comprehensive test scenarios is required.
  • Ability to work independently and coordinate effectively with technical and business teams is required.

Responsibilities

  • Plan, design, and execute QA/QC activities across application and digital projects.
  • Develop and maintain test plans, test scenarios, test cases, and test scripts.
  • Perform functional, regression, integration, system, and end-to-end testing.
  • Test workflows, business processes, APIs, system integrations, and data flows.
  • Validate automation solutions and ensure automated workflows perform as expected.
  • Support testing of AI-enabled features and use cases, including AI-driven workflows and intelligent automation.
  • Validate AI outputs against defined business requirements and expected results.
  • Identify, document, track, and follow up on defects through resolution.
  • Work with developers, business analysts, project managers, and technical teams to investigate and resolve issues.
  • Perform root-cause analysis for recurring or critical defects.
  • Verify fixes and conduct regression testing before releases.
  • Support user acceptance testing activities and coordinate with business users to ensure requirements are properly validated.
  • Review requirements and specifications to identify potential quality and testing risks early in the project lifecycle.
  • Prepare QA status reports, defect reports, test execution reports, and quality metrics.
  • Ensure solutions meet agreed quality, functionality, security, and performance requirements.
  • Contribute to continuous improvement of QA processes, standards, and testing methodologies.
  • Test AI-enabled applications and business use cases, generative AI or AI-assisted workflows, and automated business processes and workflows.
  • Validate data and consistency across integrated systems; test end-to-end automated processes; and identify edge cases and potential failure scenarios in AI and automation solutions.

Desired Qualifications

  • Experience working in Agile/Scrum environments is preferred.

About the Company

BlackStone eIT

System integrator delivering AI-enabled digital transformation

Blackstone eIT is a system integrator and independent software vendor that helps organizations modernize through customized technology solutions across strategy, development, and managed services. It combines consulting, custom software, IT governance, workflow automation, and UI/UX design with hosted data storage, network, and security to support the full digital transformation lifecycle. It emphasizes long-term partnerships and uses intelligent technologies such as AI, machine learning, computer vision, big data analytics, blockchain, and IoT, including Agentic AI and Generative AI across its offerings and proprietary products like a Business Excellence Suite, Learning Management System, e-invoicing platform, Carbon Management Platform, and archiving system. Its goal is to help clients become digital-first, data-informed, and AI-enabled, with the aim of reducing costs and improving operational efficiency across finance, education, government, and manufacturing.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Seattle, WA
Founded
2014

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