Salary Range
SGD 84,000 - SGD 102,000 /year
SGD 7,000 - SGD 8,500/month
Skills Required
Machine LearningConfluenceGroovyKubernetesBig DataPipelinesArtifactoryRubyJIRAPythonContainerizationIncident Management
Job Description
Job Description
We are hiring an experienced DevOps Engineer to support and enhance enterprise-grade CI/CD pipelines and cloud-native platforms. The ideal candidate will have strong hands-on expertise in DevOps tooling, containerization, Kubernetes, and cloud environments, with exposure to governance, security, and automation.
Key Responsibilities
- Design, build, and support end-to-end CI/CD pipelines as a centralised DevOps solution
- Orchestrate pipelines using tools such as Jenkins, GitLab CI, GitHub Actions, or equivalent
- Manage source control, build, test, and deployment processes across multiple environments
- Containerise applications and manage deployments using Kubernetes
- Implement DevOps governance, security standards, and audit requirements
- Support hybrid cloud and on-premise infrastructure environments
- Collaborate with development, QA, and security teams to enable continuous delivery and testing
- Maintain observability platforms and support incident response workflows
- Strong hands-on experience with CI/CD tools such as Bitbucket, Jenkins, Artifactory, SonarQube, Veracode (SAST), JIRA, and Confluence
- Proven experience in Kubernetes deployment, pod/container creation, and secret management
- Experience with OpenShift and/or AWS cloud platforms
- Solid understanding of build and branching strategies
- Hands-on experience with Shell and/or Groovy scripting
- Experience in customising JIRA workflows and setting up Confluence spaces
- Prior experience implementing CI/CD pipelines across internal and external cloud environments
- Experience with continuous testing tools such as JUnit, SonarQube, and Veracode
- Exposure to automation using Python, Chef, Ruby, or PowerShell
- Experience managing hybrid cloud and on-premise environments
- Familiarity with observability tools and incident management processes
Nice to Have
Working knowledge of AI / Machine Learning applications
Exposure to Big Data platforms such as Hadoop, Cloudera, or Elasticsearch