SalaryPeak

DevOps Engineer

SINGHA TECH SOLUTIONS PTE. LTD.
Singapore 4+ years Posted Jan 27, 2026

Salary Range

SGD 84,000 - SGD 102,000 /year

SGD 7,000 - SGD 8,500/month

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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