Data & AI QA Analyst

Deeplight; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

DeepLight is seeking a QA Analyst to join their Data & AI delivery team. The successful candidate will ensure the reliability of AI systems by defining test strategies and automating testing processes, contributing significantly to cutting-edge AI projects as part of a talented team.

Benefits

Competitive salary and performance bonuses

Professional development and certification support

Opportunity to work on cutting-edge AI projects

International exposure and travel opportunities

Flexible working arrangements

Career advancement opportunities

Qualifications

• 3+ years of experience in quality assurance for enterprise or SaaS platforms.
• Proficient in writing automated tests using tools like Cypress and REST Assured.
• Excellent communication skills for explaining defects and risks.

Responsibilities

• Define and execute test strategies across data platforms and applications.
• Develop automated test scripts and manage continuous testing pipelines.
• Ensure performance and security validation in the QA lifecycle.

Skills

Test design techniques

Test planning

Automated testing (UI and API)

Root cause analysis

Documentation

Tools

Cypress

REST Assured

Python

GitLab CI

SQL

Job description

DeepLight is seeking a sharp, quality-obsessed QA Analyst to join our growing Data & AI delivery team. You will play a critical role in ensuring the success of our enterprise-scale GenAI and data-driven systems. From LLM-powered workflows to real-time data pipelines, your work will underpin the reliability of AI systems used by governments, banks, and insurers across the region.

Requirements

• Define, design, and execute test strategies across data platforms, APIs, and LLM-integrated applications.
• Translate business requirements and technical specifications into clear, testable scenarios.
• Develop automated test scripts using Cypress (UI), REST Assured (API), and Python-based frameworks.
• Manage regression suites and continuous testing pipelines through GitLab CI or equivalent.
• Investigate bugs through logs, metrics, and root cause analysis—providing concise documentation to engineering teams.
• Participate actively in sprint planning, backlog grooming, and daily scrums to maintain product velocity.
• Create and maintain synthetic test data and testing environments that mirror production.
• Ensure performance, security, and edge-case validation are part of the QA lifecycle.
• Produce QA dashboards and status reports to inform delivery progress and quality metrics.
• Promote a quality-first culture across engineering and product teams.
• 3+ years of experience in quality assurance for enterprise or SaaS platforms.
• Proficiency in writing automated tests (UI and API) using tools like Cypress, REST Assured, or Playwright.
• Strong knowledge of test design techniques, test planning, and agile QA practices.
• Familiarity with CI / CD pipelines (e.g., GitLab, Jenkins) and version control tools (Git).
• Basic knowledge of SQL for validating data transformations and backend logic.
• Excellent documentation and communication skills—able to explain defects, patterns, and risks clearly.
• Competitive salary and performance bonuses
• Professional development and certification support
• Opportunity to work on cutting-edge AI projects
• International exposure and travel opportunities
• Flexible working arrangements
• Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.