Software Developer Intern

Overview

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.

Your Role And Responsibilities

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.

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Required Technical And Professional Expertise

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