We are seeking a QA Engineer with a DevOps background to join our team to ensure the
quality, reliability, and performance of our Inventory Management System and Redfish
Exporter. In this role, you will design, develop, and execute automated tests, as well as
collaborate with development teams to ensure continuous integration, testing, and
deployment of the system at scale.
Key Responsibilities:
? Develop and execute test plans for the Django-based Inventory Management
System and Redfish Exporter.
? Create and maintain automated tests for functionality, regression, and
performance using tools like Postman, or pytest.
? Integrate test automation into CI/CD pipelines (Jenkins, Git, Docker) for continuous
testing and deployment.
? Conduct performance testing to ensure system scalability and optimize
performance for thousands of hardware servers.
? Validate Redfish Exporter data accuracy (CPU, memory, storage, etc.) and ensure
consistency across hardware metrics.
? Identify, track, and report bugs using tools like Jira, ensuring timely resolution.
? Collaborate with developers to improve system reliability and quality.
? Document test cases, test plans, and bug reports for ongoing development and
testing.
Key Qualification:
? 6-7 years of experience in quality assurance, automation testing, and DevOps
practices.
? Strong understanding of Django and Django REST Framework for testing backend
APIs.
? Experience with Redfish API/Exporter or similar hardware management protocols
like IPMI, SNMP, or proprietary interfaces.
? Hands-on experience with automated testing frameworks such as Selenium,
Postman, pytest, or Robot Framework.
? Experience with CI/CD pipelines (e.g., Jenkins, GitLab CI) and automating tests
within DevOps workflows.
? Proficiency in scripting languages such as Python or Bash for automation tasks.
? Good communication skills to collaborate with other team members and
stakeholders.
Preferred Qualification:
Knowledge of Prometheus, Grafana, and hardware monitoring tools for testing data
accuracy.
Familiarity with MySQL/PostgreSQL, and performance testing of caching systems and
databases.