Cloud Operations engineer

Location
D14 Geylang, Eunos
Job Type
Full-time
Experience
Mid
Category
General
Salary
$9,500 - $10,500
Posted
15 hours ago
Expires
Apr 13, 2026
Views
0

Job Details

Vacancies

1 position

Experience Required

No experience required

Job Description

Key Responsibilities

  • Design and implement scalable, secure, and highly available cloud infrastructure across multi-region environments
  • Manage and optimize Kubernetes clusters, ensuring reliability, performance, and scalability
  • Develop and maintain CI/CD pipelines and automated deployment frameworks to improve release efficiency and reduce errors
  • Lead cloud migration initiatives, ensuring zero downtime and data integrity
  • Build and enhance observability frameworks (monitoring, logging, alerting) using tools such as Prometheus, Grafana, and ELK
  • Drive system reliability improvements, including incident response, root cause analysis, and performance tuning
  • Optimize infrastructure costs and resource utilization without compromising system stability
  • Implement traffic management and capacity planning strategies for high-concurrency systems
  • Develop tools and platforms to improve automation, operational efficiency, and developer productivity
  • Collaborate with cross-functional teams to ensure high-quality system design and delivery

Requirements

  • Minimum 5–8 years of experience in SRE / DevOps / Cloud Engineering roles
  • Strong hands-on experience with:Kubernetes, Docker, and container orchestrationCloud platforms (AWS, Alibaba Cloud, or similar)CI/CD tools (Jenkins, GitHub Actions, etc.)
  • Proficiency in infrastructure as code (e.g., Terraform, Ansible)
  • Experience with monitoring and logging tools (Prometheus, Grafana, ELK stack)
  • Strong knowledge of Linux systems, networking (VPC, DNS, CDN), and security best practices
  • Programming/scripting experience in Go, Python, or Shell
  • Experience with high-scale distributed systems and microservices architecture

Preferred Qualifications

  • Experience in large-scale internet or e-commerce platforms
  • Proven track record in cloud migration and cost optimization initiatives
  • Exposure to multi-cluster Kubernetes management and automation platforms
  • Experience in AI/ML platform infrastructure or data-intensive systems
  • Leadership experience or ability to mentor junior engineers

Key Competencies

  • Strong problem-solving and analytical skills
  • Ability to work in fast-paced, high-availability environments
  • Excellent communication and stakeholder management skills
  • Proactive mindset with a focus on automation and continuous improvement

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