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:

- Strong proficiency of 5+ years in Java, Spring Boot, Go, or Python, with expertise in at least one language and framework ecosystem.

- Hands-on experience developing Spring Boot microservices, REST APIs, and distributed applications.

- 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.

- 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 using Go, Python is plus.

- Advanced expertise in Kubernetes/OpenShift and cloud service providers.

- Robust 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 India Pvt.
📍 Bengaluru