Software Engineer

king responsibility for the implementation in both frontend and backend until it is rolled out to our beloved customers.
Moreover, you will come across a wide range of technologies, like infrastructure and Cloud platforms (Kubernetes, Cloud, and others), tracing and instrumentation and data science.
You are proficient in Java/C++ and its ecosystem and have first-hand experience of troubleshooting production issues, because this will help you understand the type of problems IBM Software is solving for our customers. Furthermore, you should be open to learning new technologies and willing to get your hands dirty across the entire software stack.

Your responsibilities will include:

• Understand application storyboards and use cases to be able to develop product features

• Be able to troubleshoot bottlenecks and defects and arrive at solutions to these problems

• Help maintain code quality, organization and modularity by following sound development practices and IBM Security design standards

• Understanding user needs, and exploring user-centered designs

• Specifying, building, testing, deploying, maintaining, and supporting your code

• Leveraging modern tools and techniques to develop clean, efficient, and reusable code

• Advocating front-end and backend development best practices

• Implementing features around IBM Software's core product

• You will interface with senior architects across several locations to ensure that the overall strategy is communicated and understood.

Required Technical and Professional Expertise
Must have 2 - 5 years of experience in one or more of the following technology areas: C++, C, Java, Python, Perl, SQL; Experience working with servers, applications, and databases; Familiarity with APIs; Basic knowledge of operating systems and how they work (i.e. Operating systems courses); Container technologies; Internet Services; and/or Managed Services; Understanding of user and system requirements; Have an interest in, understanding of, or experience with Agile development methodology; Hands on with deployment models like Docker and Kubernetes; Familiarity with Terraform

Preferred Technical and Professional Expertise

• None