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DevOps Engineer

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Onsite

DevOps Engineer

Sands China

DevOps Engineer

Skills

DockerPythonDevOpsPostgreSQLKafkaGitLabJenkinsGrafanaCybersecurityAIPrometheusGitHubKubernetesGDPROpenShiftELK StackComplianceTerraform

21 days ago

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Important information


Contract type:

Permanent

Location:

Macau, Macao

Work mode:

Onsite

Published on:

30 September 2026

What they need


Job Descriptions:

  • Build and maintain infrastructure using Infrastructure as Code (IaC) to ensure consistent, repeatable, and secure environments across development, test, and production
  • Implement secure deployment patterns for cloud based, containerized, and hybrid environments, supporting both single tenant and multi tenant architectures
  • Configure and manage container platforms and orchestration systems (e.g. Red Hat OpenShift, Kubernetes, Docker), with a strong focus on runtime security, image governance, and operational stability on bare-metal on-prem infrastructure
  • Design, deploy, and operate DevSecOps tooling and automation that supports PostgreSQL databases, including secure configuration, backup, monitoring, and performance considerations
  • Collaborate with Application and Operations teams to ensure secure, reliable CI/CD workflows for services that depend on relational databases and messaging systems

Position Requirements:

  • Bachelor Degree in Computer Science, Information Technology, Cybersecurity, or a related field
  • 3+ years of experience in DevOps, DevSecOps, Site Reliability Engineering, or a related engineering role
  • Strong hands-on experience with CI/CD platforms (e.g. Jenkins, GitLab CI, GitHub Actions)
  • Proficiency in Terraform and scripting languages (Python, Bash, or PowerShell)
  • Strong hands on experience with container platforms and orchestration technologies, including Red Hat OpenShift and Kubernetes (and container tooling such as Docker)
  • Strong hands-on experience with PostgreSQL and Apache Kafka
  • Demonstrated ability to leverage AI-assisted tools (e.g. GitHub Copilot, ChatGPT / enterprise AI assistants, or similar) to accelerate engineering tasks while strictly adhering to enterprise security, data protection and compliance requirements
  • Experience with monitoring and logging platforms (e.g. Prometheus, Grafana, ELK stack)

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