Senior QA Engineer Manual Testing AI-Assisted QA

Denara Group; Dubai; On-site; AED 201,000 - 335,000; Full time

Job summary

Denara Group is seeking a QA Engineer with strong hands-on manual testing across iOS, Android, and Web, plus solid API testing for backend services. You will work closely with AI testing assistants to accelerate test design, defect reporting, and requirements research.

This full-time role in UAE emphasizes adapting QA workflows to fast-changing product requirements, maintaining Notion-based test documentation, and collaborating with developers, designers, and PMs to ensure quality releases.

Qualifications

• 5+ years of experience in manual testing for iOS, Android, and Web apps.
• Strong backend API testing experience (REST/GraphQL).
• Solid understanding of client-server architecture and debugging tools.
• Experience using AI assistants for QA tasks and iterative prompts.
• Ability to adapt in a fast-changing environment with evolving processes.
• Familiarity with Git-based workflows and CI/CD concepts.
• Strong analytical skills, attention to detail, and problem-solving mindset.
• Upper-intermediate English for daily communication.

Responsibilities

• Plan, design, and execute manual test cases for iOS, Android, and Web apps.
• Perform functional, regression, exploratory, and cross-platform testing.
• Conduct backend API testing (REST, GraphQL) and validate data flows.
• Use AI assistants to generate checklists, defect reports, and analysis.
• Set up AI working rules, prompts, and skills for consistent output.
• Adapt QA processes and AI workflows as requirements change.
• Collaborate with developers, designers, and PMs to clarify requirements.
• Report defects with clear steps, logs, and screenshots.
• Maintain test docs in Notion (checklists, test cases, plans).
• Participate in release verification, smoke tests, and regressions.

Skills

Manual testing

API testing (REST/GraphQL)

AI-assisted QA

Git-based workflows

CI/CD concepts

Analytical skills

English communication

Tools

Kibana/Elasticsearch

Allure TestOps

Pandas

Kubernetes

Docker

Job description

Job Description:

About the role:

We are looking for a QA Engineer with strong knowledge of manual testing across iOS, Android, and Web platforms, combined with strong expertise in backend API testing. A key part of this role is working hand-in-hand with AI testing assistants — using them daily to speed up test design, defect reporting, log analysis, and requirements research. You will help shape and continuously adapt our AI-assisted QA workflows as processes and product requirements change quickly. We offer a service agreement with the full time engagement for a professional based in UAE.

Responsibilities:

• Plan, design, and execute manual test cases for iOS, Android, and Web applications.
• Perform functional, regression, exploratory, and cross-platform testing.
• Conduct thorough backend API testing (REST, GraphQL), including validation of data flows, business logic, and error handling.
• Use AI assistants day-to-day to accelerate QA work: generating and refining checklists/test cases, drafting defect reports, analyzing logs, and researching requirements against implementation.
• Set up, tune, and maintain AI working rules, prompts, and skills (project conventions, defect templates, reusable checklists) so the AI produces consistent, high-quality output.
• Continuously adapt QA processes and AI workflows to fast-changing requirements, keeping documentation as the single source of truth for both people and AI.
• Collaborate with developers, designers, and PMs to clarify requirements and identify potential risks.
• Report and track defects with clear reproduction steps, logs, and screenshots.
• Maintain test documentation (checklists, test cases, test plans) in Notion.
• Participate in release verification, smoke tests, and regression cycles.

Requirements:

• 5+ years of experience in manual testing for iOS, Android, and Web applications.
• Strong hands-on experience in backend API testing (REST, GraphQL or similar).
• Solid understanding of client-server architecture and debugging tools.
• Hands-on experience (or strong motivation and aptitude) using AI assistants for QA tasks, and willingness to iterate on prompts/rules to get reliable results.
• Ability to work effectively in a fast-changing environment with evolving processes and requirements.
• Familiarity with Git-based workflows and CI/CD concepts.
• Strong analytical skills, attention to detail, and problem-solving mindset.
• Upper-intermediate English for daily communication.

Nice to have:

• Experience configuring AI tooling/workflows (custom rules, prompts, skills, or MCP integrations) for a team.
• Experience with log/observability tools (Kibana/Elasticsearch or similar) for debugging failing API calls.
• Experience with analytical tools and libraries such as Pandas.
• Knowledge of Allure TestOps or other test management/reporting tools.
• Understanding of Kubernetes, Docker, or test environment setup.
• Basic exposure to UI/API automation (not a core focus of this role).