Site Reliability Engineer(Senior SRE)

XIAOMI TECHNOLOGIES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Xiaomi Technologies Singapore Pte. Ltd. is seeking an experienced Site Reliability Engineer to maintain the stability of our overseas production environment and continuously improve service quality.

You will work with R&D, product, security, and cloud teams to implement best practices, advance automation, and apply AI-enabled ops to support global business growth.

Applicants should have 5+ years in SRE or related roles and be proficient in Python/Go/Java, Linux, and cloud platforms.

Qualifications

• Bachelor’s degree or above in a related field with 5+ years in SRE/Platform/Cloud roles.
• Proficiency in at least one programming language with strong automation skills.
• Experience with multi-cloud or hybrid cloud platforms is a plus.
• Solid understanding of Linux, networking, load balancing, distributed systems and HA architectures.
• Ability to diagnose issues, coordinate across teams, and drive stability plans.

Responsibilities

• Ensure stability, reliability, and high availability of overseas production environment.
• Manage resource provisioning, capacity planning, monitoring, change management, and incident response.
• Review system architecture and mitigate risks to optimize stability and performance.
• Participate in on-call rotations and respond to production incidents swiftly.
• Build observability with monitoring, logging, and tracing to improve fault detection.
• Develop and optimize automation platforms to improve engineering efficiency.
• Promote AI technologies in operations to enhance automation and R&D efficiency.
• Collaborate with R&D, product, security, and infrastructure teams to drive stability initiatives.

Skills

Python

Go

Java

C++

Linux

Automation

Education

Bachelor’s degree in CS/SE/IT or related field

Tools

Prometheus

Grafana

ELK

CI/CD

Job description

Job Responsibilities:

• Ensure the stability, reliability, and high availability of the company’s overseas production environment, continuously improving system availability and service quality.
• Manage resource provisioning, capacity planning, monitoring, change management, incident response, and daily operations to maintain business continuity and stability.
• Review system architecture and technical solutions, identify potential risks, and implement mitigations to optimize system stability, performance, and resource efficiency.
• Participate in on-call rotations, responding promptly to production incidents to safeguard business operations.
• Build and enhance observability systems, including monitoring, logging, and distributed tracing, to improve monitoring capabilities and fault detection efficiency.
• Develop and optimize automation platforms and engineering efficiency tools to advance operational automation and team delivery effectiveness.
• Explore and promote the application of AI technologies in operations scenarios, leveraging AI tools to improve automation, fault analysis, knowledge management, and R&D efficiency.
• Collaborate closely with R&D, product, security, and infrastructure teams to drive stability initiatives, implement best practices, and support ongoing business development.
  

Requirements:

• Bachelor’s degree or above in Computer Science, Software Engineering, Information Technology, or a related field, with 5+ years of experience in Site Reliability Engineering (SRE), Computer Systems Administrator, Platform Engineer, or Cloud Engineer.
• Proficiency in at least one programming language (e.g., Python, Go, Java, or C++), with strong software development and automation skills.
• Familiarity with cloud computing services; experience with multi-cloud or hybrid cloud platforms (e.g., Alibaba Cloud, Azure, AWS, GCP) is a plus.
• Solid understanding of Linux, computer networking, load balancing, distributed systems, and high-availability architectures.
• Ability to quickly diagnose issues, communicate across teams, and drive solutions—developing system optimization and stability plans aligned with business goals, including dependency management, traffic governance, and disaster recovery planning.
• Experience with system monitoring and observability tools (e.g., Prometheus, Grafana, ELK, or similar), along with scripting knowledge (Bash or Python) and familiarity with CI/CD concepts is preferred.
• Familiarity with AI tools and their applications in software development, automated operations, or R&D efficiency—understanding of AI Agents or AIOps technologies; practical experience is a plus.
• Strong communication, teamwork, and project management skills; ability to adapt to a fast-paced technical environment and continuously learn and apply new technologies.