Quality Assurance Engineer

3 weeks ago


Islamabad, Islamabad, Pakistan Cloudelligent Full time

Join to apply for the Quality Assurance Engineer (C1-425107) role at Cloudelligent

Join to apply for the Quality Assurance Engineer (C1-425107) role at Cloudelligent

Cloudelligent is currently looking for an experienced Quality Assurance Engineer to join our growing team.

Position Title: Quality Assurance Engineer
Location: Islamabad
Job Timings: 6pm-3am PKT

About Cloudelligent

Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner We specialize
in providing bespoke cloud solutions to the SMB & enterprise segments as well as the public
sector (Non-Profit Organizations). Being a next-gen cloud service provider, Cloudelligent helps
small businesses & medium/large enterprises to break free from hardware lifecycle and capital
expenditures, allowing them 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 work on a range of applications across AWS cloud environments, with a strong emphasis on both web-based applications and AI-driven solutions. Your role will be integral to ensuring the highest quality of our client/server platforms and delivering exceptional user experiences.

Responsibilities:

  • Perform manual and automated software testing to ensure the quality of client/server and web-based applications, as well as emerging AI-driven applications.
  • Collaborate with cross-functional teams to review and validate technical requirements, specifications, and design documents.
  • Develop and execute comprehensive test plans and test cases, covering smoke, regression, functional, user acceptance, deployment, and other testing aspects for both AI and web applications.
  • Estimate, prioritize, plan, and coordinate testing activities, collaborating closely with the Dev and QA teams, ensuring timely delivery of high-quality solutions.
  • Execute manual test scripts, track results, and maintain a detailed record of test activities and defects using JIRA.
  • Identify, report, and track defects and issues, ensuring proper steps to reproduce are documented with clarity and accuracy.
  • Ensure proper test coverage and identify areas of potential risk in both traditional web applications and AI models.
  • Contribute to the ongoing development and enhancement of testing processes, ensuring they align with client needs and project goals.
  • Engage in continuous learning to keep pace with new technologies in AI, cloud solutions, and evolving testing methodologies.
Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, or related field.
  • 3+ years of experience as a QA Engineer, with hands-on experience in both frontend and backend testing.
  • Ability to quickly learn and apply new technologies, particularly in AI and cloud-based environments.
  • Experience with test automation tools and scripting, with a focus on both web apps and AI model testing.
  • Experience with AWS native services like EC2, RDS, EKS, S3 etc.
  • Strong ability to create and maintain test plans, test cases, and user stories with high attention to detail.
  • Experience writing and executing SQL queries to validate backend data.
  • Demonstrated expertise in bug identification and reporting, including clear and concise steps to reproduce.
  • Comfortable working within Agile/SCRUM methodologies, with proficiency in JIRA for test case management and defect tracking.
  • Strong understanding of the Software Development Life Cycle (SDLC), with an ability to identify and mitigate testing risks.
  • Basic programming knowledge is a plus (Python preferred).
  • Exceptional verbal, written, and interpersonal communication skills.
  • Ability to work in a collaborative and dynamic environment, often across multiple time zones.
  • Experience in testing AI-based applications, including knowledge of AI-specific testing methodologies, is a plus.
Nice to Have:
  • AWS Certifications are highly desirable.
  • Experience with machine learning models and AI model validation.
  • Background in DevOps or continuous integration/continuous delivery (CI/CD) pipelines.
Seniority level
  • Seniority levelMid-Senior level
Employment type
  • Employment typeFull-time
Job function
  • Job functionEngineering and Information Technology
  • IndustriesFinancial Services, Software Development, and Technology, Information and Internet

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