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Cloud Data Platform Specialist

2 weeks ago

Singapore beBeeDevops Full time $80,000 - $150,000

Job Overview:

We are seeking a skilled DevOps Engineer to support the development, deployment, and operations of enterprise-grade data and cloud platforms.

The ideal candidate will have experience with Jenkins (declarative pipelines, plugin management) and Git-based version control systems.

They should also be familiar with IaC tools such as Terraform, CloudFormation, or Ansible.

  • Key Responsibilities:
  • Design, implement, and maintain robust CI/CD pipelines using Jenkins or GitLab to streamline software build, testing, and deployment processes.
  • Administer and support Cloudera/Hadoop (CDH/CDP) platforms, ensuring cluster performance, reliability, and security.
  • Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, or Ansible.
  • Integrate cloud-native DevOps tools and workflows across AWS, Azure, and/or GCP environments.
  • Manage Git repositories and enforce best practices for source control, branching, and code merger processes.
  • Monitor and troubleshoot performance issues across development, test, and production environments.
  • Collaborate with software engineers, QA, data teams, and cloud architects to deliver scalable and secure solutions.
  • Develop and maintain documentation for deployment workflows, automation processes, and system configurations.
  • Drive DevOps best practices in areas such as automation, release management, monitoring, logging, and incident response.

Requirements:

  • Bachelor's degree in Computer Science, Information Technology, or related field.
  • 5–10 years of DevOps or SRE experience, preferably in a data platform or cloud environment.
  • Strong scripting skills in Shell, Python, or Groovy.
  • Familiarity with DevOps tools and platforms including GitLab, AWS Lambda, CodePipeline, CodeBuild, and Azure DevOps.
  • Experience with monitoring/logging solutions and system performance tuning.

Nice to Have:

  • Experience with Kubernetes, Docker, and container orchestration.
  • Exposure to multi-cloud environments (AWS, Azure, GCP).
  • Familiarity with DevSecOps practices and secure pipeline design.