Software Developer- Full Stack

Introduction
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
IBM Db2® Analytics Accelerator (IDAA) is a high-performance component tightly integrated with Db2 for z/OS. It provides a hybrid transaction and analytic processing (HTAP) environment and delivers high-speed processing for complex Db2 queries to support business-critical reporting and analytic workloads.

As a Software Developer in IBM Db2 Analytics Accelerator for z/OS you will be part of team in developing high performance database applications.
Quality Assurance is also part of the role where you design end-to-end tests based on customer scenarios as well as maintaining the code.

Required Technical and Professional Expertise
• Database architecture
• hardware architecture, and Operating System
• SQL and SQL optimization & DBMS
• software development, especially in Client/Server environment using JDBC, ODBC
• programming languages ( C++, C, PL/1, Java, JUNIT, JCL, REXX, Python, and make
• in Cloud , Kubernetes (Openshift), Docker
• Degree in Computer Science, Software Engineering or equivalent experience
• Excellence communication skills

Preferred Technical and Professional Expertise
• Experience in database replication technologies
• Experience working in an Agile development environment
• Experience working with CI/CD practices and toolsets e.g. Jenkins, Travis, GitHub and git
• Object-Oriented development and design principles
• Computer Science fundamentals in data structures and problem solving