An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Cloudelligent in Lahore is seeking an Associate Quality Assurance Engineer to test and validate our in-house SaaS and AI-enabled products built on AWS. You will perform manual testing, execute test plans, and document results with clear steps, while growing into our QA processes and AI-assisted testing workflows.
The role is suitable for someone early in their QA career with strong attention to detail, willingness to learn new technologies, and comfort working with a global, distributed team
Job Description:
Position Title: AssociateQuality Assurance Engineer
Location: Lahore
Job Timings:6pm-3am Pakistan Time (PKT)
About Cloudelligent
Cloudelligentis an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solvereal businessproblems, not just implement technology. With an international footprint,Cloudelligentis customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
In this role, you will test and validateCloudelligentsin-house SaaS and AI-enabled products built on AWS. This is a growth role,were looking for someone early in their QA career who brings strong attention to detail, afast learningcurve, and ownership mindset, and who we can train into our product testing processes and standards over time, including AI-assisted testing workflows.
Perform manual testing of web-based and AI-driven applications.
Execute test plans and test cases,smoke, regression,functional,UAT, and deploymenttesting.
Leverage AI-assisted development and testing tools (e.g., Kiro) to support spec-driven testing, test case generation, and QA documentation workflows.
Run manual test scripts, capture results, andmaintainaccuratetest documentation in JIRA.
Identify, document, and track defects with clear, reproducible steps.
Support test coverage efforts across web applications and AI-related workflows.
Helpidentifyopportunities to improve QA processes as you grow into the role, including adoption of AI-driven testing tools.
Collaborate with the Product and Engineering teams to understand requirements and designs.
Build familiarity with SaaS, AI, and cloud technologies through hands-on work.
Bachelors degree in Computer Science, Software Engineering, orrelateddiscipline.
2+years of QA experience.
Foundational understanding offrontendand backend testing concepts.
Willingness and ability to quickly learnnew technologies, including AI and cloud platforms.
Basic familiarity with AWS services (EC2, RDS, EKS, S3, etc.) trainingwill be provided.
Ability to write clear test cases and bug reports.
Basic SQL knowledge for backend data validation (or willingness to learn).
Familiarity with Agile/SCRUM and JIRA is a plus.
UnderstandingSDLC and software testing fundamentals.
Basic programming knowledge (Python preferred) is a plus, notrequired.
Strong verbal and written communication skills.
Comfortableworking with a global, distributed team.
Curiosity or prior exposure to AI-assisted development/testing tools (e.g., Kiro, GitHub Copilot, or similar) is a strong plus.
AWS certifications (e.g., Cloud Practitioner/AI Practitioner).
Hands-on experience with AI-assisted coding or testing toolssuch as Kiro.
Any exposure to AI/ML testing concepts.
Any exposure to CI/CD pipelines or DevOps environments.