Quality Assurance Engineer

Position Title: Quality Assurance Engineer

Location: Lahore

Job Timings: 6pm-3am Pakistan Time (PKT)

About Cloudelligent

Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to startups and SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed.

Job Objective

As a QA Engineer, you will test and validate in-house SaaS and AI-enabled applications built on AWS cloud environments. This role requires strong ownership, attention to detail, and execution excellence to help deliver reliable, high-quality products.

Responsibilities

• Perform manual and automated testing of client/server, web-based, and emerging AI-driven applications.

• Collaborate with cross-functional teams to review requirements, specifications, and design documents.

• Develop and execute test plans and test cases, including smoke, regression, functional, UAT, and deployment testing.

• Estimate, prioritize, plan, and coordinate testing activities with Dev and QA team members.

• Execute manual test scripts, capture results, and maintain accurate test documentation in JIRA.

• Identify, document, and track defects with clear, reproducible steps.

• Ensure proper test coverage and identify potential risks in both web applications and AI-related flows.

• Contribute to process improvements that strengthen the QA lifecycle.

• Stay updated on SaaS, AI, cloud technologies, and modern testing methodologies.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or related discipline.

• 3–5 years of experience as a QA Engineer testing frontend and backend components.

• Experience testing SaaS applications.

• Ability to quickly learn and apply new technologies, including AI and cloud platforms.

• Experience with automation tools and scripting (web apps; AI testing is a plus).

• Hands-on familiarity with AWS services (EC2, RDS, EKS, S3, etc.).

• Strong ability to write and maintain detailed test plans, cases, and user stories.

• Experience executing SQL queries for backend data validation.

• Proven ability to identify, report, and track bugs with clarity.

• Comfortable working in Agile/SCRUM environments with JIRA.

• Solid understanding of SDLC and software testing best practices.

• Basic programming knowledge (Python preferred) is a plus.

• Excellent verbal and written communication skills.

• Ability to work collaboratively across global teams.

Nice to Have

• AWS certifications.

• Experience validating AI/ML models.

• Exposure to CI/CD pipelines or DevOps environments.

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