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DevOps Engineer

INFINITE COMPUTER SOLUTIONS PTE LTD

Singapore

On-site

SGD 80,000 - 120,000

Full time

5 days ago
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Job summary

A leading tech company in Singapore is seeking an experienced DevOps Engineer to design, implement, and maintain automation for infrastructure provisioning and application deployment. This role involves collaboration with data science teams on machine learning initiatives, ensuring security, compliance, and best practices across all operations. Ideal candidates will have over 5 years in DevOps or SRE roles and be proficient in Ansible, CI/CD tools, and cloud platforms.

Qualifications

  • 5+ years experience in DevOps or SRE role.
  • Proficiency in Ansible and cloud platforms (AWS, Azure, GCP).
  • Strong understanding of networking and system administration.

Responsibilities

  • Design and maintain Ansible playbooks for infrastructure provisioning.
  • Develop CI/CD pipelines using Jenkins, GitLab CI or GitHub Actions.
  • Monitor system performance and troubleshoot issues.

Skills

Automation
Configuration Management
CI/CD Pipelines
Machine Learning
Scripting
Containerisation

Job description

Responsibilities:

  • Design, implement and maintain Ansible playbooks for infrastructure provisioning, configuration management and application deployment.
  • Develop and manage CI/CD pipelines using tools like Jenkins, GitLab CI or GitHub Actions.
  • Collaborate with data science teams to operationalize machine learning models and workflows.
  • Build and maintain event-driven automation
  • Monitor system performance, troubleshoot issues and ensure high availability and scalability.
  • Implement infrastructure as code (IaC)
  • Ensure security, compliance and best practices across all DevOps processes.
  • Document processes, configurations and architectural decisions.

Requirements:

  • 5+ years of experience in a DevOps or Site Reliability Engineering (SRE) role.
  • Proficiency in Ansible for automation and configuration management.
  • Experience with cloud platforms (AWS, Azure or GCP).
  • Familiarity with machine learning pipelines and tools
  • Strong understanding of event-driven systems and messaging platforms
  • Proficient in scripting languages such as Python, Bash, or Go.
  • Experience with containerisation and orchestration (Docker, Kubernetes).
  • Solid understanding of networking, security and system administration.

EA License # 14C6941

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