Browse
···
Log in / Register

Data & AI QA Analyst

Negotiable Salary

Deeplight

Abu Dhabi - United Arab Emirates

Favourites
Share

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. 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.


Location
Abu Dhabi - United Arab Emirates
Show Map

Workable
3,441listings

You may also like

Workable
Automated QA Engineer
Dubai - United Arab Emirates
We are seeking a detail-driven Automated QA Engineer to join our fast-growing engineering team. This role is ideal for someone passionate about building scalable test automation frameworks, owning QA coverage end-to-end, and embedding quality within agile delivery cycles. You’ll play a key role in ensuring that our enterprise AI platforms and data services meet the highest standards for performance, reliability, and user experience. Responsibilites Design, implement, and maintain automated test suites across web, backend, and data services Collaborate with engineers and product managers to define acceptance criteria and test strategies Build and maintain integration and end-to-end test frameworks using modern tools Embed automated testing within CI/CD pipelines (e.g., GitHub Actions, Jenkins) Identify and report bugs with detailed documentation and reproducible steps Monitor system health post-deployment and lead root cause analysis for test failures Maintain regression coverage and contribute to the continuous improvement of QA practices Support load, performance, and stress testing efforts where applicable Requirements 4+ years of hands-on experience in test automation and QA engineering Strong programming skills in Python, JavaScript, or TypeScript Proficiency with tools like Cypress, Playwright, Selenium, or similar Experience testing RESTful and GraphQL APIs Familiarity with Docker and cloud environments (AWS preferred) Solid understanding of QA best practices in agile delivery environments Strong analytical skills and attention to detail Excellent written and verbal communication 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.
Negotiable Salary
Workable
Wifi Support Engineer Bilingual (Arab and English)
Dubai - United Arab Emirates
Staff4Me is seeking a skilled and dedicated Bilingual Wifi Support Engineer to join our team. As a Bilingual Wifi Support Engineer fluent in Arabic and English, you will be responsible for providing exceptional technical support and troubleshooting assistance for wifi-related issues. You will work closely with clients to ensure they receive reliable and efficient wifi solutions while supporting our diverse user base. Responsibilities Provide technical support and troubleshoot wifi network issues for clients in both Arabic and English. Ensure optimal performance and reliability of wifi networks. Configure and manage wifi access points, controllers, and related network equipment. Conduct site surveys to assess wifi coverage and identify potential issues. Analyze and resolve network connectivity and performance problems. Collaborate with network engineers and other team members to integrate wifi networks with existing infrastructure. Stay informed about the latest wifi technologies and solutions. Maintain documentation of network configurations, changes, and incidents. Provide training and technical assistance to clients and team members. Monitor and report on network performance regularly. Requirements 3-5 years of experience as a Wifi Support Engineer or in a similar role. Fluency in both Arabic and English is essential. Strong knowledge of wifi technologies, protocols, and standards. Prior experience in configuring and managing wifi access points, controllers, and related equipment. Understanding of network security principles and best practices. Proficient in conducting site surveys and performing troubleshooting in both languages. Strong analytical and problem-solving abilities. Excellent communication and interpersonal skills. Ability to work in a collaborative team environment. Relevant certifications such as CWNP, CCNA Wireless, or similar are preferred. Bachelor's degree in Computer Science, Network Engineering, or a related field.
Negotiable Salary
Workable
Senior DevOps Engineer - PaaS Technology
Dubai - United Arab Emirates
We’re hiring! Join our team as a Senior DevOps PaaS Technology Engineer for the largest bank in the UAE. The Senior Technology Engineer will be responsible for managing deliverables of the squad which includes building and executing pipelines. The position plays a key role in driving the engineering.  The engineer will be responsible for implementing all changes and delivering new technology into the bank by onboarding customers and applications to the platform via self-service and automation.  The engineer will work closely with other platform and product teams in educating them on new platform, services and features to ensure any transition and to ensure that consumption is optimal. The teams operate using Agile, DevOps and Product Management methodologies, delivering work packages based on the priority in the backlog. Technology Engineering Experienced in DevOps with strong infrastructure/security knowledge. Effective communicator to improve team and stakeholder transparency. Automate deployment/configuration for scalable environments. Collaborate to resolve infrastructure/application issues. Implement/manage CI/CD pipelines with Kubernetes, OpenShift, and Cloud platforms (Azure/AWS/OCI). Knowledge of Microservices authentication/authorization. Use Terraform, Ansible, and other IaC tools for environment management. Proficient in GitHub Actions/Jenkins for CI/CD automation (Groovy/Python). Familiar with GitOps tools like Argo CD. Understand logging/monitoring solutions (ELK, Prometheus, Grafana). Preferred experience in Python programming. Delivery Experience Manage projects from inception to delivery, embracing core values of Collaboration, Ownership, Drive, and Enterprising. Possess cross-functional skills in delivery and operational support following DevOps methodologies. Deep understanding of DevOps/SRE, Infrastructure as Code (IaC), and 12 Factor application principles. Ability to work under pressure and manage client expectations effectively. Stay updated with industry best practices and emerging technologies. A.    Education  Bachelor or Equivalent Degree 5+ years total engineering or operational experience B.    Experiences 3+ years of relevant experience in a similar role. Experience in large, complex global enterprises with high availability and transaction rates. Experience in the banking sector. C.    Technical/Functional Automated build/deployment pipelines (Jenkins, GitHub Actions, ArgoCD) for Python projects Automation with Ansible Containerization (Docker, Podman) Required: Python programming experience Data/Machine learning CI/CD pipelines Linux OS with shell scripting Container management (Kubernetes, OpenShift) Helm based pipelines Automating security/regulatory checks Automated patching Production support (rotation basis) Agile engineering practices Networking fundamentals Security engineering practices and tools Nice to have: Public Cloud experience (Azure, OCI, AWS) Machine Learning projects D.   Behavioural Competencies Collaboration Self-starter with strong initiative Calm under pressure Pragmatic but focused Willing to learn new technologies. Good communication and articulation skills Requirements Candidates must have extensive hands-on experience with the following skills: OpenShift Argo CD Docker Kubernetes Ansible Terraform Jenkins Python GIT
Negotiable Salary
Cookie
Cookie Settings
Our Apps
Download
Download on the
APP Store
Download
Get it on
Google Play
© 2025 Servanan International Pte. Ltd.