DevOps Engineer – Cloud Operations
4 days ago
singapore
Renrui HR
Full-time
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Location
Singapore Job Category
Information Technology (IT) & Software Engineering & Technical Remote / Work-from-Home Opportunities Job Overview
We are seeking a
DevOps Engineer – Cloud Operations & DevOps
to support overseas cloud platforms, maintain service reliability, resolve production incidents, and improve operational efficiency through automation. The role involves hands‑on responsibility for cloud infrastructure, Linux systems, containerized environments, monitoring, deployment, and production operations. The successful candidate will work with technologies including
AWS or Azure, Docker, Kubernetes, Linux, Python or Shell scripting , and cloud monitoring and deployment tools. The position also involves incident response, root‑cause analysis, technical documentation, and participation in a 7×24 on‑call rotation. This opportunity offers strong potential for
career growth and professional development
across cloud operations, DevOps engineering, infrastructure automation, container orchestration, site reliability, and production engineering. Additional experience with Infrastructure as Code, CI/CD, observability, and automation technologies can further support career progression. Key Responsibilities
Operate and maintain cloud platforms and core infrastructure systems. Monitor system health, availability, and performance. Identify and resolve infrastructure performance bottlenecks. Deploy platform updates and manage operational changes. Respond to production incidents and restore services efficiently. Conduct root‑cause analysis following production incidents. Develop automation tools to improve operational efficiency. Improve existing operational processes and workflows. Maintain technical documentation, SOPs, and incident records. Support reliable operation of production cloud environments. Participate in a
7×24 on‑call rotation . Collaborate with relevant technical teams to resolve operational issues. Requirements & Qualifications
Bachelor’s degree in
Computer Science, Information Technology, or a related field . At least
2 years of relevant production operations experience . Strong hands‑on Linux administration and troubleshooting skills. Experience with
Docker, Kubernetes, and containerized environments . Production experience with
AWS or Azure . Proficiency in
Python or Shell scripting . Experience with system deployment and monitoring. Strong production incident‑response and root‑cause‑analysis capabilities. Working proficiency in
Mandarin and English . Strong communication and service‑oriented mindset. Willingness to learn and adapt to new technologies. Ability to participate in a 7×24 on‑call rotation. Advantageous Experience
Experience with the following technologies will be advantageous: Ansible Terraform CI/CD tools Go C/C++ Prometheus Grafana ELK Splunk Datadog Salary, Benefits & Career Growth
Salary and specific employment benefits have not been provided in the job posting. The position offers opportunities for
career progression and professional development in DevOps, cloud operations, infrastructure engineering, and production reliability . Hands‑on exposure to cloud platforms, Kubernetes, automation, monitoring, incident management, and Infrastructure as Code can help develop advanced technical capabilities. Continued training and upskilling in cloud technologies, DevOps practices, container orchestration, CI/CD, observability, automation, and Infrastructure as Code can support long‑term career advancement.
Singapore Job Category
Information Technology (IT) & Software Engineering & Technical Remote / Work-from-Home Opportunities Job Overview
We are seeking a
DevOps Engineer – Cloud Operations & DevOps
to support overseas cloud platforms, maintain service reliability, resolve production incidents, and improve operational efficiency through automation. The role involves hands‑on responsibility for cloud infrastructure, Linux systems, containerized environments, monitoring, deployment, and production operations. The successful candidate will work with technologies including
AWS or Azure, Docker, Kubernetes, Linux, Python or Shell scripting , and cloud monitoring and deployment tools. The position also involves incident response, root‑cause analysis, technical documentation, and participation in a 7×24 on‑call rotation. This opportunity offers strong potential for
career growth and professional development
across cloud operations, DevOps engineering, infrastructure automation, container orchestration, site reliability, and production engineering. Additional experience with Infrastructure as Code, CI/CD, observability, and automation technologies can further support career progression. Key Responsibilities
Operate and maintain cloud platforms and core infrastructure systems. Monitor system health, availability, and performance. Identify and resolve infrastructure performance bottlenecks. Deploy platform updates and manage operational changes. Respond to production incidents and restore services efficiently. Conduct root‑cause analysis following production incidents. Develop automation tools to improve operational efficiency. Improve existing operational processes and workflows. Maintain technical documentation, SOPs, and incident records. Support reliable operation of production cloud environments. Participate in a
7×24 on‑call rotation . Collaborate with relevant technical teams to resolve operational issues. Requirements & Qualifications
Bachelor’s degree in
Computer Science, Information Technology, or a related field . At least
2 years of relevant production operations experience . Strong hands‑on Linux administration and troubleshooting skills. Experience with
Docker, Kubernetes, and containerized environments . Production experience with
AWS or Azure . Proficiency in
Python or Shell scripting . Experience with system deployment and monitoring. Strong production incident‑response and root‑cause‑analysis capabilities. Working proficiency in
Mandarin and English . Strong communication and service‑oriented mindset. Willingness to learn and adapt to new technologies. Ability to participate in a 7×24 on‑call rotation. Advantageous Experience
Experience with the following technologies will be advantageous: Ansible Terraform CI/CD tools Go C/C++ Prometheus Grafana ELK Splunk Datadog Salary, Benefits & Career Growth
Salary and specific employment benefits have not been provided in the job posting. The position offers opportunities for
career progression and professional development in DevOps, cloud operations, infrastructure engineering, and production reliability . Hands‑on exposure to cloud platforms, Kubernetes, automation, monitoring, incident management, and Infrastructure as Code can help develop advanced technical capabilities. Continued training and upskilling in cloud technologies, DevOps practices, container orchestration, CI/CD, observability, automation, and Infrastructure as Code can support long‑term career advancement.