Job Description
About the Role
We are looking for a part-time, long-term DevOps Engineer to support and manage our cloud infrastructure and monitoring stack. You will be responsible for maintaining reliable, secure, and scalable environments using AWS, Docker, and modern observability tools.
Responsibilities
Manage and optimize AWS EC2 instances and related cloud services
Deploy and maintain Elasticsearch clusters with Kibana dashboards
Implement and monitor Prometheus + Grafana for system metrics and alerting
Use AWS CLI for automation, scripting, and daily operations
Containerize and manage services with Docker
Set up and maintain GitLab pipelines (CI/CD) for deployment automation
Troubleshoot, monitor, and improve system reliability and performance
Document configurations and processes for future scalability
Requirements & Skills
Required Skills & Experience
- Proven experience with AWS (EC2, CLI)
- Strong knowledge of Elasticsearch + Kibana
- Hands-on experience with Prometheus + Grafana monitoring stack
- Solid Docker skills (building, running, managing containers)
- Familiarity with GitLab CI/CD pipelines
- Good command of Linux server administration
- Strong problem-solving skills and ability to work independently
- Good English communication (written and spoken)
Nice to Have
- Experience with infrastructure as code (Terraform, Ansible, etc.)
- Knowledge of Kubernetes (EKS, k8s deployments)
- Security best practices for cloud environments
Engagement
- Remote, part-time (approx. 15–20 hrs/week)
- Long-term collaboration with possibility of expansion
- Flexible working hours with some overlap with Singapore Time Zone
Compensation
Competitive rates based on experience
Paid monthly in USD
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