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 Be part of transparent and responsible AI innovations. Join the Software Labs to build GenAI solutions that solve complex business problems and get an opportunity to influence the future of AI.
As a Full stack developer, you will
Develop and support scalable, secure, and high-performance systems for cloud and on-premises environments that meet world-class standards.
Collaborate with stakeholders to build systems that solve complex business problems and deliver exceptional user experiences.
Use modern architectural principles and best of the class tools and technologies
Participate Technical Initiatives that aligns with business goals and objectives.
Work in an agile, collaborative, distributed, fast paced and exciting environment.
Stay current with industry trends, best practices, and emerging technologies.
Required Technical and Professional Expertise
Four years of industry experience
At least two years of experience as a Full Stack Software Developer
At least two years of experience in Python and other programming language
Experienced building Microservices & REST architectures
Knowledgeable in 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 Agile SDLC (design, development, test and deploy)
Exceptional knowledge of data structures, algorithms, enterprise systems, asynchronous architectures, and object-oriented programming
Preferred Technical and Professional Expertise
Experience with popular IBM, AWS, Azure and/or GCP services for compute, storage, and databases etc.
Working knowledge of SQL and no-SQL databases.
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 with Carbon, React, and Angular Design Systems
