Software Developers at IBM are the backbone of our strategic initiatives to design code test and provide industry-leading solutions that make the world run today - planes and trains take off on time bank transactions complete in the blink of an eye and the world remains safe because of the work our software developers do. Whether you are working on projects internally or for a client software development is critical to the success of IBM and our clients worldwide. At IBM you will use the latest software development tools techniques and approaches and work with leading minds in the industry to build solutions you can be proud of.
We are looking for Frontend Full Stack and QA/Test Automation Graduate hires with excellent analytical and problem-solving skills who are eager to learn a wide range of IBM and open-source packages with a particular bias on Automation and Process Mining technologies.
You will be a self-starter requiring limited supervision or guidance with good communication skills and the ability to multi-task and prioritize your work. This is a high-profile project at the core of IBM's new strategy surrounding Automation and working with our wide range of stakeholders will be critical to ensure we meet the high standards expected.
A solid base of programming languages is required. Languages and technologies include Go Java Python or other scripting languages are useful.
- Skills with React Redux Node.JS JavaScript AngularJS HTML CSS
- Backend with Python / Java /GoLang as tech stack
- Skills with Test Tools such as Jest Cypress Codecept
- Knowledge on building API driven interfaces
- Knowledge on API testing and API automation.
- Knowledge on test automation development using Ansible Python.
- Experience working with GitHub as source code control.
- Bachelor’s degree in Computer Science or equivalent
- Preferred Professional and Technical Expertise :
- Knowledge on any cloud services including IBM Cloud AWS Azure and GCP
- DevOps experience
- Knowledge on Kubernetes Docker Red Hat OpenShift
- Experience with Linux systems
- Awareness of Automation Framework
- Data Science and Data Engineering knowledge
- Awareness of Cloud Architecture