BENGALURU · FULLTIME
Cloud & AI Engineer
IBM
Bengaluru · onsite · Posted 2d ago
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Undisclosed4–7 yrsfulltimeBengaluru
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Section · 01
About this role
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.
- 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.
Years of Experience:4 - 7
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Section · 02
Skills
DevopsDockerAgileCI/CD Pipelinesapiscloud technologiesamazon web servicesBusiness Requirementsai engineerContainerdebuggingcloudCommunication SkillsDeep LearningAdministrationMicrosoft AzureAnsibleArtificial Intelligence
Section · Company
About IBM
IBM
IT Services & Consulting
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