CLOUD ENGINEER

BIPO; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

BIPO Service (Singapore) Pte. Ltd. is seeking a seasoned Site Reliability Engineer/Platform Engineer to ensure stability of overseas production environments, manage capacity and automation, and oversee incident response.

You will work with cross-functional teams to optimize architecture, implement best practices, and advance observability and AI-powered operations. The role emphasizes on-call readiness, cloud proficiency across AWS/Azure/GCP, and strong scripting abilities, with a focus on

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field, with 3+ years of experience in SRE/Platform/Cloud Engineer.
• Proficiency in at least one programming language (Python, Go, Java, or C++), with strong automation skills.
• Familiarity with cloud platforms (Alibaba Cloud, Azure, AWS, GCP) is a plus.
• Solid understanding of Linux, networking, load balancing, distributed systems, and high-availability architectures.
• Ability to diagnose issues quickly and drive solutions across teams, including disaster recovery planning.
• Experience with monitoring/observability tools (Prometheus, Grafana, ELK) and scripting (Bash/Python); CI/CD familiarity.
• Familiarity with AI tools and AIOps concepts; practical experience is a plus.
• Strong communication, teamwork, and project management skills.

Responsibilities

• Ensure stability, reliability, and high availability of the overseas production environment.
• Manage resource provisioning, capacity planning, monitoring, change management, and incident response.
• Review architecture and solutions; identify risks and mitigations for stability and performance.
• Participate in on-call rotations and respond to production incidents.
• Build and enhance observability with monitoring, logging, and tracing systems.
• Develop automation platforms and engineering efficiency tools to boost automation and delivery.
• Explore AI technologies in operations to improve automation and R&D efficiency.
• Collaborate with R&D, product, security, and infrastructure teams to drive stability initiatives.

Skills

Python

Go

Java

C++

CI/CD

Linux

Prometheus

Grafana

ELK

AI tools / AIOps

Communication & teamwork

Education

Bachelor’s degree in CS/Software Eng/IT or related field

Tools

AWS

Azure

GCP

Kubernetes

Docker

Job description

• 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 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.

Job Description

• 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 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.

Job Requirement s

• Bachelor’s degree or above in Computer Science, Software Engineering, Information Technology, or a related field, with 3+ 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 ，as well as 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.

BIPO Service (Singapore) Pte. Ltd.

EA License No. : 18S9180