Cloud & AI Engineer

Introduction
At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.
Your Role And Responsibilities
Design, develop, and enhance backend applications as per business requirements.
Maintain and manage applications in a cloud‑native environmentusing Kubernetes/OpenShift.
Commit source code using GitHub; perform code reviews to ensure code is up to date, compliant, high quality, and free of vulnerabilities.
Work in accordance with Agile methodologies.
Share knowledge and contribute to the technical growth and upskilling of team members.
Demonstrate excellent communication skills while collaborating with cross‑functional teams.
Ability to quickly pick up new areas and technologies based on business requirements.
Preferred Education
Master's Degree
Required Technical And Professional Expertise
4+ years of overall experience in backend application development with a strong understanding of system design and best practices.
4+ years of hands‑on development experience in GoLang and/or Python (knowledge of C++ is a plus).
Good level of expertise in Kubernetes or OpenShift, including use of Docker/Podmanand public cloud providers.
Good understanding of Container Networking (CNI) and container‑native storageconcepts.
Strong expertise in version control systems (Git).
Experience using cloud technologies such as AWS, GCP, Azure, or IBM Cloud.
Hands‑on experience with Ansible and Shell scripting.
Proficient in Linux system administration.
Experience with Infrastructure as Code (IaC) using Terraform.
Ability to design and operate a DevOps application lifecycle.
Strong understanding of CI/CD pipelines, especially Jenkins, Github Actions, with hands‑on experience writing and debugging Jenkinsfiles.
Knowledge of Generative AI systems, including:
LLM inferencing and model serving, including experience with vLLM
Integrating GenAI/LLM inferencing into backend services and APIs
Experience with deep learning frameworks such as PyTorch, TensorFlow, and Scikit‑learn
Understanding of performance, scalability, GPU utilization, and cost considerations for AI workloads in production
Preferred Technical And Professional Experience
Full‑stack development experience using GoLang and/or Python.
Advanced expertise in Kubernetes/OpenShift and cloud service providers.
Strong knowledge of Generative AI and inferencing, including:
Serving LLMs using vLLM in cloud‑native environments
Scaling and operating inference workloads on Kubernetes/OpenShift
Integrating GenAI capabilities into enterprise applications
Ability to learn new domains and technologies quickly based on business needs.
Excellent written and verbal communication skills.

Work arrangement
Hybrid