• Software Development:
• Design, develop, test, and maintain database features within IBM’s products and services.
• Operate and maintain tools that ensure a secure environment for customers using IBM products in the cloud.
• Technology Evaluation:
• Assess and integrate new technologies and processes to enhance IBM’s service capabilities and product offerings.
• Mentorship and Knowledge Sharing:
• Document your experiences and insights, and actively mentor other team members to foster a collaborative and innovative work environment.
• Innovation and Problem Solving:
• Collaborate with leading minds in the industry to build solutions that are both innovative and reliable, contributing to IBM’s reputation as a technology leader.

• Strong software programming skills using languages like Java/C/C++/Go/Scala
• Strong problem determination and resolution skills
• Exposure to best practices in design, development, and testing of software
• Knowledge in any SQL databases (Db2, PostgreSQL, MySQL, Oracle, SQL Server etc)
• Understanding of with Virtualization and Containerization technologies
• Knowledge in Docker and Kubernetes frameworks
• Development familiarity with the usage of Cloud Services (IBM Cloud, Amazon Web Services, Microsoft Azure)
• Knowledge of Linux/UNIX Operating Systems.

Tips for Resume Building

• Full Lifecycle Development: Showcase your experience working across all phases of the product development lifecycle, including analysis, design, coding, and support.
• Core Programming Expertise: Highlight your strong skills in C, C++, Java, Python, GoLang, and more, which are vital for software engineering roles.
• Cloud & Virtualization Skills: Add cloud computing and containerization technologies like Red Hat OpenShift, Kubernetes, and Docker to your resume, which are highly sought-after in the job market.
• Systems Knowledge: Show your deep understanding of Unix/Linux operating systems, data structures, and algorithms.
• Front-End & Back-End Development: Gain full-stack experience by working with both front-end frameworks (e.g., ReactJS, Vaadin) and back-end technologies (e.g., Java, NodeJS, SQL).
• AI/ML Skills: Highlight your exposure to AI/ML, NLP, and data science, which will position you well for future roles involving machine learning and advanced analytics.
• Collaboration & Communication: Showcase your ability to work in a global, cross-functional team, emphasizing communication and collaboration.
• DevOps & Security Practices: Add DevOps practices, security protocols, and cloud application development to your skill set.