Our mission at IBM is to modernize IBM Z data access and use cases. For that we currently work on these product lines:
IBM Data Gate is the one-stop solution for building hybrid cloud applications with Z data: a modern approach where you leave your existing data stores and applications on Z untouched, but still get current and transactional consistent copies of that data on the cloud (public or private). Data Gate enables a hybrid architecture where mainframe data stores and applications co-exist with cloud environments. It synchronizes IBM Z data to the cloud for modern cloud data architectures such as Apache Iceberg and IBM watsonx.
IBM Db2 Analytics Accelerator for z/OS is a software appliance that enables analytical and machine learning workloads for relational databases. It supports the most demanding customers in analyzing and accelerating their queries in Db2 for z/OS.
IBM AI Optimizer for Z is a software application that empowers clients to leverage generative artificial intelligence technologies and accelerate the adoption of AI solutions across IBM Z workloads. Designed to save time, effort, and cost, AI Optimizer for Z enables clients to deploy, integrate, and monitor AI solutions with speed, simplicity, and ease.
To ensure that the IBM Data Gate, IBM Db2 Analytics Accelerator for z/OS and IBM AI Optimizer for Z maintain their innovative edge and uphold their quality we are looking for frontend and backend developers highly interested in developing innovative, future-oriented solutions for our large scale enterprise customers. Your main duties will include designing and implementing new features, optimizing and extending existing code, and ensuring the software meets high-quality standards through testing, debugging and automation. You will work closely with other developers, designers, and product managers in dynamic and agile teams around the world.
As a Master student joining our team, you will
work in a multi-cultural team, collaborating with engineers in Germany, India and California to implement innovative ideas,
gain deep knowledge in the development life-cycle of a large project, ranging from system administration over code development and testing to integration into existing products and frameworks,
benefit from the work with supervisors having a lot of experience in software development and scientific work at universities.
Examples for tasks could be web-based UI development, extension of automation scripts, integration of components into cloud environments, refinement of backend server code and improvements to monitoring utilities.
Bachelor's degree
Programming skills in object-oriented programming (e. g. Java, C++, Python) and/or Web development languages
Familiarity with version control systems, such as Git
Language proficiency equivalent to English C1 and German A2
Ability to work independently and in a team
Knowledge in database technologies
Familiarity with CI/CD pipelines, such as Jenkins, Tekton or Github Actions
Knowledge in cloud and container technologies, such as Kubernetes or Docker
Experience in working with cloud providers such as IBM Cloud or AWS, Azure, GCP
Familiarity with test development and automation
Linux operating system skills