QA Engineer

We are seeking a dynamic QA Engineer to support our most strategic initiatives, from cloud migrations to Generative AI implementations. Whether you are a rising star or a seasoned leader in quality assurance, this role offers the chance to shape production AI solutions while growing your expertise in AI and cloud technologies.

Develop plans to execute quality testing

• Work with relevant teams to plan for quality testing based on established testing procedures and guidelines.
• Identify relevant features for quality testing.
• Develop quality testing approach and steps to satisfy test objectives, including functional and user acceptance tests, performance tests, and production smoke tests.
• Develop test plans.
• Obtain technical documents to understand user requirements, product specifications and intended outcomes.
• Create test scenarios that comply with established testing procedures and guidelines.

Perform quality testing

• Conduct quality assurance tests against design requirements and specifications.
• Analyse results from quality assurance tests to determine whether the product fulfils performance standards and functional requirements as detailed in design requirements and specifications.
• Identify issues that arise from quality assurance tests and document testing outcomes.
• Trace issues to the relevant development stage and teams.
• Automate quality assurance testing for suitable types of tests and test processes.
• Keep track of improvements made to enhance the quality of products.
• Apply existing procedures to solve routine or standard problems.

Optimise quality processes

• Conduct research on industry best practices and new methodologies, practices and technologies to optimise quality assurance processes.
• Identify opportunities to decrease time and cost spent on system quality assurance processes.
• Propose improvements to optimise the quality assurance testing process.

Core competencies

• 3+ years in the tech project quality assurance domain, cloud or AI projects preferred.
• Test certifications, or equivalent practical experience, preferred.
• Cloud awareness: AWS services, migration frameworks, cost management.

Success traits

• Meticulous and analytical, ensuring that products, services and processes meet high standards of quality and compliance.
• Strong rigour in designing and implementing testing protocols, analysing data, and identifying areas for improvement.
• Critical and systematic thinking that anticipates potential issues and develops solutions proactively.
• You value precision, structure, and continuous learning.
• AI curious: you are excited to explore GenAI for test efficiency gains.

Qualifications

• Degree in Business, Computer Science, or a related field, or equivalent experience.
• Fresh graduates with QA internships or certifications may apply for the junior QA Engineer position.
• Senior candidates: show us your complex tech QA experience and team leadership.

Why Axrail?

• AWS Premier Projects

  Work on cutting-edge cloud/AI implementations.

• Career Accelerator

  Grow into Program Management or Technical PM roles.

• Innovation Culture

  Experiment with GenAI tools for project delivery.

• Hybrid Flexibility

  Balance office collaboration with remote work.