AI Infra SRE: Reliability, Autoscaling & Automation

RAZER (ASIA-PACIFIC) PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading tech company in Singapore is seeking a Site Reliability Engineer to ensure the reliability and performance of AI systems. This role involves working closely with software engineers to automate operations and enhance observability in cloud environments. Major responsibilities include managing AI model-servers and optimizing for availability. A Bachelor's or Master's in computer science or related field is required, along with 4+ years of SRE or DevOps experience. Familiarity with AWS, Docker, and scripting is essential.

Qualifications

• 4+ years of relevant experience in SRE, DevOps, infrastructure engineering, or cloud operations.
• Strong knowledge in Web Technologies such as HTTP, REST, SSL.
• Comfortable with Linux and Docker administration.

Responsibilities

• Administer cloud-scale environments for AI model APIs and services.
• Design fault-tolerant cloud architectures for AI workloads.
• Build automated self-recovery systems for high availability.

Skills

Site Reliability Engineering

DevOps

Infrastructure Engineering

Cloud Operations

Linux Administration

Docker

AWS

CI/CD

Python

Bash Scripting

Education

Bachelor's or Master’s degree in computer science, AI or similar discipline

Tools

Terraform

Jenkins

NGINX

AWS ECS

Kubernetes

Git

mySQL

noSQL

Job description

A leading tech company in Singapore is seeking a Site Reliability Engineer to ensure the reliability and performance of AI systems. This role involves working closely with software engineers to automate operations and enhance observability in cloud environments. Major responsibilities include managing AI model-servers and optimizing for availability. A Bachelor's or Master's in computer science or related field is required, along with 4+ years of SRE or DevOps experience. Familiarity with AWS, Docker, and scripting is essential.