Introduction At IBM, work is more than a job – it’s a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you’ve never thought possible. Are you ready to lead in this new era of technology and solve some of the world’s most challenging problems? If so, lets talk
Your Role and Responsibilities Are you interested in working in one of the most impactful areas of technology in the world today? Do you want to build generative AI skills while working on a project to transform the most mission-critical IT workloads for organizations that power the global economy? Come join the team that is at the intersection of cutting-edge gen AI and mainframe software development, a key strategic pillar for IBM.
Roles and responsibilities include:
Maintain and develop language parsers written in C and C++.
Work in an agile, collaborative environment across software architecture, understanding both front-end and back-end concerns, while specializing in the back-end.
Develop using object oriented programming, multi-threading and concurrency.
Work with client-server architectures, networking protocols, application development, and databases.
Understand user and system requirements for multi user solutions.
Use and develop REST API services.
Required Technical and Professional Expertise
At least 10 years experience as a Full Stack Software Developer
At least 5 years experience in Java programming language
Experienced building Microservices & REST architectures
Experience with Front End Development programming languages and design Frameworks
Knowledgeable in Docker Containerization
A self-starter & ability to work effectively in a team environment
Quick learner
Experience in Spring Boot
Experience in Agile SDLC (design, development, test and deploy)
Preferred education; Computer Systems Eng., Comp Sci., Software Engineering
Preferred Technical and Professional Expertise
Working knowledge of OrientDB and SQL Servers
Working knowledge of Data Science Libraries: Pandas, Numpy, Sckit-Learn and NetworkX
Working knowledge of DevOps practices
Working knowledge of Test Automation Tools
Design Thinking Experience
Experience in Python Programming Language
Experience with Carbon, React, and Angular Design Systems
