Data & AI QA Analyst

Description

Summary: DeepLight is seeking a quality-obsessed QA Analyst to ensure the reliability of enterprise-scale GenAI and data-driven systems. Highlights: 1. Opportunity to work on cutting-edge AI projects 2. Shape the future of AI implementation 3. Career advancement in a rapidly growing AI company 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. Benefits Benefits & Growth Opportunities: ·       Competitive salary and performance bonuses ·       Comprehensive health insurance ·       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.