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Associate Quality Assurance Engineer… at Cloudelligent · Location…
Job Description
Position Title: Associate Quality Assurance Engineer
Location: Lahore
Job Timings: 6pm-3am Pakistan Time (PKT)
About Cloudelligent
Cloudelligent is 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 solve real business problems, not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
In this role, you will test and validate Cloudelligent's in-house SaaS and AI-enabled products built on AWS. This is a growth role, we're looking for someone early in their QA career who brings strong attention to detail, a fast learning curve, and ownership mindset, and who we can train into our product testing processes and standards over time, including AI-assisted testing workflows.
Responsibilities
Perform manual testing of web-based and AI-driven applications.
Execute test plans and test cases, smoke, regression, functional, UAT, and deployment testing .
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, and maintain accurate test documentation in JIRA.
Identify, document, and track defects with clear, reproducible steps.
Support test coverage efforts across web applications and AI-related workflows.
Help identify opportunities 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.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or related discipline.
2+ years of QA experience.
Foundational understanding of frontend and backend testing concepts.
Willingness and ability to quickly learn new technologies, including AI and cloud platforms.
Basic familiarity with AWS services (EC2, RDS, EKS, S3, etc.) training will 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.
Understanding SDLC and software testing fundamentals.
Basic programming knowledge (Python preferred) is a plus, not required.
Strong verbal and written communication skills.
Comfortable working 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.
Nice to Have
AWS certifications (e.g., Cloud Practitioner/AI Practitioner).
Hands-on experience with AI-assisted coding or testing tools such as Kiro.
Any exposure to AI/ML testing concepts.
Any exposure to CI/CD pipelines or DevOps environments.