Cloud Engineer / Site Reliability Engineer

AIFT

full-time

Posted on: 9/21/2025

Origin: • 🇹🇼 Taiwan

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Mid-LevelSenior

AnsibleAzureCloudDockerElasticSearchGoGoogle Cloud PlatformGrafanaKubernetesLogstashPrometheusPythonSDLCTerraform

About the role

Implement and enhance system reliability, availability, scalability, performance, and efficiency by leveraging monitoring, alerting, and automation tools on public cloud platforms like Azure and GCP
Participate in capacity planning, analyze software performance, and fine-tune systems to ensure optimal operation
Develop and enhance our CI/CD process and toolset to streamline software delivery and deployment
Define and monitor key metrics to assess and enhance system reliability
Collaborate closely with the engineering team to improve reliability and operational efficiency at every software development life cycle (SDLC) stage
Troubleshoot, optimize infrastructure and automate repetitive tasks to increase efficiency and effectiveness

Proficiency in programming languages such as Bash, Python, or Go
Advanced knowledge of monitoring solutions like Prometheus, Grafana, ELK (Elasticsearch, Logstash, Kibana)
Strong expertise and experience in cloud technologies, specifically Azure and GCP
Experience in the complete software development life cycle (SDLC)
In-depth understanding of network concepts, particularly with a focus on security
Hands-on experience implementing CI/CD processes (for example, using GitLab CI)
Proficiency in automation platforms like Ansible and Terraform
Knowledge of orchestration tools like Kubernetes
Familiarity with container technologies like Docker
Experience with Git source code version control systems
Strong problem-solving skills with a systematic approach, effective communication abilities, and a self-driven attitude