Cloud and AI Engineer (US-CB-WTRetest)

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.

As a full stack software developer, you will collaborate with cross-functional teams to perform requirement analysis, design and hands on development of the product. Your problem solving and quick learning skills will help to develop products that provide high performance, security and quality.

• Design, develop and enhance applications (both front end and back end) as per business requirements.
• Maintain and manage applications in a Cloud Native environment using Kubernetes/OpenShift.
• Commit source code via Github. Perform code reviews and sure code is up to date, compliant and free of vulnerabilities. 
• Work in accordance to Agile methodologies.
• Work to share knowledge and contribute to the technical skills growth of other team members
• Excellent Communication and leadership skills.
• Ability to pick up new areas based on business requirements.

• 6+ years of overall experience in full stack development. Excellent understanding of system design and best practices.
• 6+ years of application development with GoLang/Python/Java development. Knowledge of C++ will be a plus.
• Good level of expertise in Kubernetes or OpenShift, use of Docker/Podman and Cloud service providers. 
• Good level of knowledge of CNI, container native storage.
• Expertise in Version Control - Git
• Experience using cloud technologies (AWS/GCP/Azure/IBM Cloud) 
• Experiene with Ansible and Shell scripting
• Proficient in Linux administration.
• Experience of IaC (Terraform)
• Expertise in Version Control - Git
• Design functional DevOps application lifecycle. Good understanding of CICD pipelines such as Jenkins. Should have hands-on in writing and debugging Jenkinsfile
• Experience using build tools such as Maven, Gradle, Make, Ant
• Knowledge of deep learning frameworks - Pytorch, TensorFlow, Scikit,  Generative AI, and ability to integrate AI functionalities to applications.