Senior Full-Stack DevOps Engineer (Cloud & Automation)

RAPSYS TECHNOLOGIES PTE LTD

Singapore

On-site

SGD 120,000 - 180,000

Full time

9 hours ago
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Job summary

RAPSYS TECHNOLOGIES PTE LTD is seeking a skilled Full Stack DevOps Engineer in Singapore with 5+ years of experience. You will design and maintain full-stack applications, APIs and databases, while building secure, scalable cloud infrastructure and automating pipelines across development, testing and production environments.

You will drive IaC efforts, implement observability and security controls, and collaborate with cross-functional teams to ensure reliable deployments and optimal system

Qualifications

  • Degree or diploma in CS/IT/SE or equivalent required.
  • 5+ years in full-stack development and DevOps/cloud engineering.
  • Strong hands-on AWS, CI/CD and IaC experience.
  • Proficient in Angular, Node.js and Python.

Responsibilities

  • Design, develop and maintain full-stack apps, APIs and databases.
  • Build secure, scalable cloud infrastructure on GCC-AWS/L2 cloud.
  • Develop and improve CI/CD and DevSecOps pipelines across environments.
  • Create and manage Infrastructure-as-Code for repeatable provisioning.
  • Implement observability, monitoring and incident response processes.
  • Collaborate across application, infrastructure, security and operations teams.

Skills

Full stack development
Angular
Node.js
Python
AWS
CI/CD
DevSecOps

Education

Bachelor's degree or Diploma in Computer Science / Information Technology / Software Engineering

Tools

Docker
Kubernetes
Terraform

Job description

RAPSYS TECHNOLOGIES PTE LTD is seeking a skilled Full Stack DevOps Engineer in Singapore with 5+ years of experience. You will design and maintain full-stack applications, APIs and databases, while building secure, scalable cloud infrastructure and automating pipelines across development, testing and production environments.

You will drive IaC efforts, implement observability and security controls, and collaborate with cross-functional teams to ensure reliable deployments and optimal system

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