Algorithm Engineer - Search & Recommendation A58591

Xiaomi Technology; Singapore; On-site; SGD 48,000 - 72,000; Full time

Job summary

Xiaomi Technology in Singapore invites fresh graduates for an entry-level role in cloud infrastructure operations. You will support daily operations, monitor production systems, and assist in deployment and configuration of cloud and containerized apps.

After onboarding, you will join on-call rotations, contribute to automation via scripting and AI-assisted workflows, and collaborate with software and infrastructure teams to improve system reliability while expanding your technical knowledge.

Qualifications

• Bachelor's degree in CS/IT/CE/SE or related field; fresh graduates are welcome.
• Basic understanding of cloud concepts, Linux OS, networking (TCP/IP, DNS, HTTP/HTTPS), and system administration.
• Exposure to cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.
• Basic programming or scripting skills (Python, Bash, Go, Java) with eagerness to automate.
• Strong analytical thinking, problem solving, and willingness to learn new technologies.

Responsibilities

• Support the daily operation of cloud infrastructure and production systems to help ensure service availability, stability, and performance.
• Monitor production systems, assist in troubleshooting incidents, and perform routine operational tasks under guidance of senior engineers.
• Assist in deploying, configuring, maintaining, and optimizing cloud infrastructure, Linux servers, and containerized applications.
• Participate in production changes, system upgrades, maintenance, and on-call rotations after onboarding; compensatory time off per policy.
• Learn and contribute to automation initiatives through scripting and AI-assisted engineering workflows.
• Collaborate with software engineers, infrastructure teams, and stakeholders to resolve issues and improve reliability.

Skills

Cloud concepts

Linux basics

Networking fundamentals

Scripting basics

Analytical thinking

Education

Bachelor's degree in Computer Science / Information Technology / Computer Engineering / Software Engineering

Tools

Docker

Kubernetes

Alibaba Cloud

AWS

Azure

GCP

Virtualization

Job description

1. Support the daily operation of cloud infrastructure and production systems to help ensure service availability, stability, and performance.

2. Monitor production systems, assist in troubleshooting incidents, and perform routine operational tasks under the guidance of senior engineers.

3. Assist in deploying, configuring, maintaining, and optimizing cloud infrastructure, Linux servers, and containerized applications in accordance with operational best practices.

4. Participate in production changes, system upgrades, routine maintenance, and on-call rotations after successfully completing the required onboarding and training program. Compensatory time off will be provided in accordance with company policy.

5. Learn and contribute to automation initiatives through scripting, operational tools, and AI-assisted engineering workflows to improve operational efficiency and reduce manual effort.

6. Collaborate with software engineers, infrastructure teams, and other stakeholders to resolve technical issues, improve system reliability, and continuously develop technical knowledge and engineering skills.

1. Bachelor's degree (or expected graduation) in Computer Science, Information Technology, Computer Engineering, Software Engineering, or a related discipline. Fresh graduates are encouraged to apply. 2. Basic understanding of cloud computing concepts, Linux operating systems, networking fundamentals (TCP/IP, DNS, HTTP/HTTPS), and system administration through coursework, projects, or internships. 3. Exposure to cloud platforms (such as Alibaba Cloud, AWS, Azure, or Google Cloud Platform), container technologies (Docker and Kubernetes), or virtualization technologies is an advantage but not required. 4. Basic programming or scripting skills in Python, Bash, Go, Java, or similar languages, with an interest in automation and cloud technologies. 5. Strong analytical thinking, problem-solving ability, and a proactive attitude with a willingness to learn new technologies in a fast-paced engineering environment.