Talent International is searching for an experienced Automation Test Analyst (QA Engineer) to join our client, a global leader in the manufacturing and supply of construction and mining equipment. This role is based in the Brisbane CBD and is a permanent opportunity offering 2-3 days WFH per week.

Responsibilities

• Act as the quality assurance subject matter expert (SME) within the team.
• Collaborate with platform engineers, data engineers and scientists, product managers, and business stakeholders to define and maintain quality standards.
• Design and implement test strategies, test plans, and test cases for new and existing features.
• Conduct appropriate quality assurance tests to ensure the quality of the features delivered to the end-users meet expectations.
• Drive automation initiatives to support continuous integration and delivery (CI/CD) pipelines.
• Participate in sprint planning, design reviews, and code reviews to ensure quality is considered throughout the development lifecycle.
• Conduct root cause analysis of defects and work closely with engineering teams to resolve issues.
• Promote a quality-first mindset and lead the adoption of QA best practices across the team.
• Monitor, track, and report on software quality metrics.

Key Deliverables

• Comprehensive test plans and test cases covering functional, integration, regression, and performance scenarios, and their execution.
• Automated test scripts and frameworks integrated into CI/CD pipelines.
• Defect reports and quality dashboards with clear, actionable insights.
• Documented quality standards and testing guidelines for the platform.
• Sign-off reports for releases indicating readiness and QA validation status for CAB approval purposes.
• Continuous improvements to QA processes and tooling based on retrospectives and feedback.
• Risk assessments and mitigation plans related to product quality.

Essential Experience and knowledge:

• Demonstrated experience setting up a automated testing environment from scratch.
• Experience with Selenium is nice to have.
• Familiarity with testing analytics dashboards and visualizations (e.g., Grafana), ensuring data accuracy and usability.
• Prior experience in working with K6 testing tool
• Familiarity with API testing tools like JMeter, etc for validating backend services.
• Exposure to end-to-end testing application components hosted in cloud environments, particularly AWS.

Nice to have:

• Hands-on experience in quality assurance for data platforms, analytics applications, or enterprise software across both functional as well as non-functional scenarios.
• Strong understanding of software QA methodologies, tools, and processes across the SDLC.
• Experience designing and executing test strategies for both frontend and backend components of analytics platforms.
• Competence in writing clear, reusable test cases and documenting test results in tools like Azure DevOps, Atlassian JIRA, etc.
• Understanding of automated testing principles and experience contributing to automation frameworks or pipelines.
• Experience in carrying out load and performance tests to validate platform performance.
• Ability to identify data quality issues and collaborate with developers and data engineers to resolve them.
• Experience working in Agile teams with active participation in sprint and QA planning and reviews.
• Working knowledge of data validation techniques as well as experience in validating data consistency, transformation logic, and end-to-end data workflows would also be a plus.

Skills and Abilities

• Strong analytical skills with the ability to understand complex data flows and identify discrepancies or edge cases.
• High attention to detail and a commitment to delivering defect-free, production-quality solutions.
• Ability to write clear, comprehensive, and reproducible test cases and test plans.
• Proficiency in test case management and issue tracking tools (e.g., Azure DevOps, Atlassian JIRA).
• Good understanding of SQL for validating data accuracy and integrity across large datasets.
• Comfortable interpreting and testing dashboards and visualizations to ensure they reflect correct business logic.
• Ability to collaborate with cross-functional teams including developers, product owners, and business analysts.
• Strong communication skills for articulating bugs, quality risks, and status clearly to technical and non- technical stakeholders.
• Initiative-driven mindset with the ability to proactively identify quality improvements and process enhancements.
• Adaptability to changing priorities, requirements, and timelines in a fast-paced Agile environment.
• Good understanding of test automation principles and the ability to contribute to or maintain existing automation scripts.

How to Apply:
To find out more, please "Apply for this job" or send your CV directly to [email protected]