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
As a key member of our dynamic team, you will play a vital role in crafting exceptional software experiences. Your responsibilities will encompass the design and implementation of innovative features, fine-tuning and sustaining existing code for optimal performance, and guaranteeing top-notch quality through rigorous testing and debugging. Collaboration is at the heart of what we do, and you'll be working closely with fellow developers, designers, and product managers to ensure our software aligns seamlessly with user expectations.
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The role seeks good levels of personal organisation and the ability to work well within a distributed global team in a fast paced and exciting environment. You will be office based, working with senior software engineers who will help you integrate into the team, the department and wider IBM. You will be joining a development squad following Design Thinking and Agile principles where you are expected to collaboratively develop creative solutions. The work can be varied, flexibility to learn new technologies and skills is key as we look look to help grow your career within IBM. A positive attitude and a passion to succeed is essential in joining a high performing software development team at IBM.
Required Technical and Professional Expertise
- 6-9 years experence in software development
- 3+ years of working experience with Python.
- 3+ years of experience working on Ansible.
- Solid understanding of YAML and Ansible.
- Must have knowledge of XML And Dockers.
- Experience in delivering advanced analytical projects to large, complex organizations in a multi-functional environment.
- Able to challenge and review the quality and value generated from analytical outputs
- Knowledge on Dockers/Kubernetes"
Preferred Technical and Professional Expertise
- Exceptional knowledge of data structures, algorithms, enterprise systems, asynchronous architectures, and object-oriented programming
- Experience with popular cloud providers including IBM, Amazon AWS, Microsoft Azure and/or Google GCP services for compute, storage, and databases etc.