Position Details
About this role
This role involves building and managing AI/LLM infrastructure in cloud environments, automating deployment pipelines, and ensuring system observability and security.
Key Responsibilities
- Architect AI/LLM infrastructure
- Develop CI/CD pipelines
- Manage containerized systems
- Implement monitoring and security
- Collaborate with ML teams
Technical Overview
Supports AI and Large Language Model workloads using cloud platforms like AWS, GCP, and OpenStack, with tools such as Terraform, Ansible, Jenkins, Docker, Kubernetes, and monitoring solutions.
Ideal Candidate
The ideal candidate is a senior DevOps engineer with extensive experience supporting AI and Large Language Model workloads, proficient in cloud infrastructure, container orchestration, and automation tools. They excel in designing scalable, secure environments for AI systems and have strong scripting and monitoring skills.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud platforms (AWS, GCP, OpenStack), No experience supporting AI/LLM workloads, Lack of scripting or automation skills
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