Introduction
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
Your Role and Responsibilities
Application programming interfaces (API) are the digital glue that links services, applications, sensors and mobile devices to create compelling customer experiences and help businesses tap into new market opportunities. They allow you to bring new digital services to market, open revenue channels and exceed customer expectations. The IBM API Connect is an API management solution that addresses critical aspects of the API lifecycle for both on-premises and cloud environments providing the capability to create, run, manage and secure APIs and microservices.
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Our team is part of the development group that develops, deploys, and operates the cloud, dedicated and local form factors of the product. In addition we are involved in all the customer support and efforts to ensure that our customers are satisfied and successful.
The QA engineer will be the responsible to ensure the quality of both new features being added to the product and existing functionality. This will be done via manual verification and the creation and maintenance of automation to validate the features. The QA engineer will need to work closely with the dev teams to understand the new features and to provide input into testing performed by these teams.
As a QA Engineer, the following are the responsibilities:
- Validate new features being delivered in the product.
- Work on creating automation for the features being tested, and implement in a CI/CD pipeline.
- Debug customer issues, reproducing in a lab if required.
- Work with core development to improve the product.
- Provide serviceability improvements on the product.
Required Technical and Professional Expertise
- Knowledge of testing methodologies and approaches, utilizing agile development methodologies, with at least 2 years working in a QA/automation environment.
- Scripting and development skills: Shell scripting, Python.
- Familiarity with Linux and various container technologies: Docker, Kubernetes.
- Design, build, deploy, and maintain effective CI/CD pipelines for running automation jobs, utilizing Jenkins or other CI/CD tooling.
Preferred Technical and Professional Expertise
Familiarity with cloud-based providers: SoftLayer, Amazon Web Services (AWS), Microsoft Azure, IBM, etc.