Cloud & AI Engineer

Role overview

Cloud & AI Engineer at IBM

Responsibilities

• Design, develop, and enhance backend applications as per business requirements.
• Work in accordance with Agile methodologies.

Employment details

• Location: Bangalore [India]

Application details

• Ability to quickly pick up new areas and technologies based on business requirements. 7+ years of overall experience in backend application development with a strong understanding of system design and best practices. 7+ years of hands‑on development experience in GoLang and/or Python(knowledge of C++ is a plus).
• Ability to design and operate a DevOps application lifecycle.

About the employer

• At IBM Infrastructure & Technology, we design and operate the systems that keep the world running.
• Our teams ensure the performance, security, and scalability that clients and industries depend on every day.
• India Infrastructure & Technology Hybrid Professional Bangalore, IN Bangalore (0063) IBM India Private Limited Amazon Web Services Red Hat Ansible Artificial Intelligence Business Networking C++ Debugging Deep Learning Design DevOps Docker Engineering Git Jenkins Linux System Administration Python Scalability Shell Scripting Storage Writing Application Development Azure Google Cloud Platform Kubernetes Enterprise Applications Golang Terraform Infrastructure as Code Version Control PyTorch Tensorflow Large Language Model OpenShift Graphics Processing Unit GitHub Actions Public Clouds Continuous Integration/Continuous Delivery Pipelines Verbal Communication

Additional role details

• From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability.
• 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.
• 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.
• Share knowledge and contribute to the technical growth and upskilling of team members.
• Demonstrate excellent communication skills while collaborating with cross‑functional teams.
• Good level of expertise in Kubernetes or OpenShift, including use of Docker/Podman and public cloud providers.
• Good understanding of Container Networking (CNI) and container‑native storage concepts.
• 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.
• 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 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.