AI-Powered DevOps Engineer (AWS, Kubernetes, CI/CD)

BROADCHAINS FINTECH PTE. LTD.

Singapore

On-site

SGD 100,000 - 140,000

Full time

14 days+
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Job summary

BROADCHAINS FINTECH PTE. LTD. is seeking an experienced DevOps/Platform Engineer to design, deploy, and maintain scalable backend infrastructure across AWS and AliCloud. You will manage Kubernetes clusters, CI/CD pipelines, and automation to ensure high availability and reliability of production systems.

The role emphasizes collaboration with software engineers, incident response, and implementing security best practices to optimize operational efficiency and reliability.

Qualifications

  • 5+ years of hands-on experience with large-scale backend systems and operation tasks.

Responsibilities

  • Design, deploy and maintain backend infrastructure for high availability and scalability.
  • Manage cloud infra on AWS and AliCloud with cost optimization.
  • Deploy, monitor and maintain Kubernetes clusters and distributed backend services.
  • Build CI/CD pipelines using GitHub Actions, Terraform and Ansible.
  • Collaborate with engineers to support deployment, troubleshooting and production operations.
  • Investigate incidents, perform root cause analysis and implement preventive improvements.
  • Implement security best practices for reliable production environments.
  • Develop internal DevOps platforms and automation tools to boost productivity.
  • Implement monitoring, observability and alerting to improve service reliability.
  • Research and integrate AI technologies into infrastructure operations, including intelligent alert analysis and chat-based automation.

Skills

Python
Go
Java

Tools

Kafka
Redis
Docker
Kubernetes
GitHub Actions
Terraform
Ansible
AWS
AliCloud

Job description

BROADCHAINS FINTECH PTE. LTD. is seeking an experienced DevOps/Platform Engineer to design, deploy, and maintain scalable backend infrastructure across AWS and AliCloud. You will manage Kubernetes clusters, CI/CD pipelines, and automation to ensure high availability and reliability of production systems.

The role emphasizes collaboration with software engineers, incident response, and implementing security best practices to optimize operational efficiency and reliability.

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