Position Overview
MangoBoost is seeking for an Infrastructure Engineer to help build, operate, and optimize large-scale AI infrastructure and enterprise-grade datacenter environments. This role will be responsible for a broad range of infrastructure operations, including large-scale server and GPU cluster management, IDC/datacenter operations, Linux system standardization, troubleshooting, infrastructure automation, and configuration management. The ideal candidate will play a key role in improving the scalability, reliability, and operational efficiency of mission-critical infrastructure while contributing to the advancement of next-generation AI computing environments.
Responsibilities & Opportunities
- Large-Scale Infrastructure & OS Operations
- Manage large-scale enterprise x86 server infrastructure and hardware assets
- Perform mass provisioning and standardization of Linux server environments
- Monitor system resources, optimize performance, and troubleshoot infrastructure issues across large-scale environments
- IDC Physical Operations & Datacenter Management
- Handle rack placement, server installation, power capacity planning, and environmental management within IDC facilities
- Diagnose hardware failures and replace server, storage, and networking components including CPU, memory, disk, and NICs
- Perform physical infrastructure deployment, handover, and SAN/LAN cabling for new hardware installations
- GPU Cluster & Infrastructure Configuration Management
- Monitor and optimize resource utilization for large-scale AI training and inference GPU clusters
- Manage infrastructure configurations using Infrastructure as Code (IaC) methodologies and version control systems
Required Qualifications
- 3–7 years of experience in infrastructure operations and management
- Hands-on experience in large-scale IDC/datacenter environments including rack installation, infrastructure cabling, server hardware replacement, and physical troubleshooting
- Deep understanding of Linux environments (Ubuntu, CentOS, Rocky Linux, etc.), including OS installation, system initialization, and kernel-level log analysis
- Proven experience operating and managing hundreds of enterprise-grade servers in production environments
Preferred Qualifications
- Experience participating in or leading IDC build-out, datacenter migration, or new datacenter deployment projects
- Experience operating NVIDIA GPU accelerator environments and high-speed interconnect networks such as InfiniBand or RoCE
- Experience managing infrastructure code, automation scripts, and operational documentation through GitHub collaboration workflows including PR reviews and code reviews
- Strong automation skills using Shell Script, Python, or similar tools to streamline repetitive operational tasks
About us
MangoBoost, Inc.
Agentic AI is fundamentally reshaping the paradigm of AI infrastructure. As environments emerge where countless AI agents operate simultaneously, conventional data center architectures are reaching their limits in both performance and efficiency. In response to this shift, MangoBoost is pioneering a new approach with its full-stack AI infrastructure solution designed to innovate every layer of the AI data center.
From LLMBoost, our AI inference optimization software, to GPU and storage systems powered by our proprietary DPU architecture, and orchestration software that seamlessly integrates and manages the entire stack, MangoBoost designs and develops every layer of AI infrastructure in-house. Rather than building isolated products, we focus on eliminating system-wide bottlenecks and fundamentally addressing inefficiencies across the entire infrastructure stack.
MangoBoost’s technology minimizes data movement and coordination overhead while maximizing overall system resource utilization, enabling exceptional performance and optimized total cost of ownership (TCO) for customers. Today, our solutions are already being deployed within real-world AI infrastructure environments through global partners, validating the strength of our technology. Through these efforts, MangoBoost is establishing a new global standard for AI data centers.
Notice Regarding Return of Hiring Documents
- This notice is in accordance with Article 11, Section 6 of the Fair Hiring Procedure Act, which allows job applicants, excluding the final successful candidate, to request the return of any recruitment documents they have submitted.
- Job applicants who were not selected as the final candidates in the recruitment process are entitled to request the return of the recruitment documents they submitted within 180 days of the date the employment decision is confirmed. However, this does not apply to documents submitted via the website or email, or documents voluntarily submitted by the applicant without the company’s request. If the recruitment documents are lost due to natural disasters or other reasons for which the company is not responsible, it will be considered as having been returned.
- Applicants wishing to request the return of their recruitment documents should fill out the Request for Return of Hiring Documents [Form 3 of the Enforcement Rules of the Fair Hiring Procedure Act] and submit it by email (recruiting@mangoboost.io). The documents will be sent by registered mail to the designated address within 14 days from the confirmation of submission. Please note that the cost of registered mail will be borne by the recipient.
- The company will keep the recruitment documents for 180 days following the confirmation of the employment decision. If no request for the return of documents is made within that period, the company will dispose of all recruitment documents without delay in accordance with the Personal Information Protection Act.
