Cloud & AI Engineer

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