Aethir is the leadingDePIN, enterprise-grade, AI-focusedGPU-as-a-Service provider in the market. By leveraging a highly distributed cloud computing infrastructure, we help GPU providers serve AI and gaming customers at scale. Our mission is to deliver powerful AI chips for enterprise clients while supporting cloud gaming for hundreds of thousands of users worldwide—all under a decentralized cloud architecture that brings compute power directly to the community.

We are looking for aSenior DevOps Engineer (Site Reliability Engineer) to join our new headquarters inKuala Lumpur, Malaysia. In this role, you will be responsible for maintaining, optimizing, and scaling our production systems to ensure high availability, reliability, and performance across our decentralized compute network. You’ll play a key part in supporting mission-critical infrastructure for our AI and cloud gaming customers globally.

Key Responsibilities:

Monitor, Review, and Respond to Faults: Take on the responsibility of monitoring, reviewing, responding to faults, troubleshooting, resolving, and subsequently optimizing the production system.
System Architecture and Performance: Continuously monitor and review the system architecture, process logic, system performance, stability, and other technical areas and indicators to ensure their rationality.
Coordination with Business Team: Drive the business team in resolving any issues related to operations and maintenance.
Production Failure Response: Respond promptly to production failures, acting as the overall coordinator for resolution.
Collaborative Problem-Solving: Organize relevant R&D, operations and maintenance, and product teams to collaboratively investigate and resolve problems.
Failure Response Time: Responsible for the failure response time and resolution time, ensuring timely resolution of issues.
Case Studies and Optimization: Conduct case studies on production issues and follow up with optimizations to improve system performance and stability.
Documentation: Maintain comprehensive documentation of system architecture, processes, and troubleshooting procedures.
Continuous Improvement: Identify areas for improvement in the operations and maintenance processes and implement necessary changes.

Bachelor's degree in Computer Science, Engineering, or a related field.
Experience in operations and maintenance development, preferably in a cloud computing or AI-focused environment.
Strong understanding of system architecture, performance monitoring, and troubleshooting methodologies.
Excellent communication and collaboration skills.
Ability to work in a fast-paced, startup environment.
Proficiency in Kubernetes (K8S), CI/CD, and Docker.
Expertise in AWS (VPC, S3, EC2, etc.) or Python (one of the two).
Responsible for building the operations and maintenance infrastructure platform and handling core business operations.
Management experience is a plus, but not required.
Prior experience working in structured environments such as Huawei, ZTE, or banking institutions is preferred.
Fluency in Mandarin is mandatory (written and spoken)

Hypergrowth Startup Environment
Fantastic Career Progression Opportunities
Work within a Global and Local Team
Collaborative and innovative work environment with opportunities to contribute to cutting-edge projects.

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