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.

Required Education:

Bachelor's Degree

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.
- Solid 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.

Years of Experience:4 - 7

📌 Cloud & AI Engineer (Bengaluru)
🏢 IBM
📍 Bengaluru