Our solutions hosted on our Iris Smart Manufacturing platform combines equipment and process domain expertise in Mining & Metals, Oil & Gas, Chemicals & Petrochemicals with the state-of-the-art in data sciences, machine learning and process optimization. The IRIS platform can work in hybrid mode and built using microservices architecture. The applications are containerised and run on Azure Kubernetes service and uses Azure blob storage, Data Lake, IoT Hub, Event Hub, Event Grid and Queues.
Job Description
About the Role
We are looking for a 4+ years experience QA Engineer to support delivery quality for private enterprise Foundry installations. The role focuses on validating new installations and upgrades by executing manual and existing automated test suites. Optional contributions to automation enhancements are welcome when time permits.
What You Will Be Doing
- Validate private Foundry installations and upgrades using manual and automated test suites
- Check installation success criteria: environment setup, data pipelines, permissions, and application behavior
- Coordinate with DevOps, Engineering, and Services teams to resolve issues
- Review application logs to support validation
- Track defects and provide QA status updates in agile delivery cycles
Essential Skills & Experience
- Strong QA fundamentals: test execution, defect tracking, and validation of enterprise software installations/upgrades
- Hands-on experience with Foundry, Playwright, and test management tools (e.g., JIRA)
- Comfortable in delivery-focused, fast-paced environments
- Strong communication skills
Nice to Have
- Experience with additional automation frameworks (Selenium, API testing) or scripting (Python, JavaScript, Java)
- Familiarity with CI/CD pipelines, Linux environments, REST APIs, and enterprise infrastructure constraints
- Exposure to Agile delivery and Generative AI tools for QA
About Us
What We Offer
· Competitive salary and benefits package.
· Flexible hybrid working model.
· Opportunities for professional growth and development.
· Collaborative and inclusive work environment.
· Access to the latest technologies and tools.
· Opportunity to make a tangible impact on cutting-edge Retail/ CPG AI solutions.