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Open nowFirst seen 56 minutes ago

ART 1514 - DevOps Engineer

FPT Asia Pacific Pte Ltd258 open roles

Where
Singapore
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Your applicationOpen nowART 1514 - DevOps EngineerFPT Asia Pacific Pte Ltd · Singapore

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on FPT Asia Pacific Pte Ltd's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. FPT Asia Pacific Pte Ltd postings stay open a median of 5 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: first seen 56 minutes ago

FPT Asia Pacific Pte Ltd median: 5 days open

The posting

Role Overview

We are seeking experienced DevOps Engineers to support the Celestial project, which focuses on implementing an Agentic Cloud Development environment to strengthen security, improve developer productivity, and streamline software delivery processes.

The successful candidates will work closely with cross-functional engineering teams to build, automate, and optimise cloud infrastructure, CI/CD pipelines, and development workflows while ensuring scalability, reliability, and security.

Key Responsibilities

  • Design, implement, and maintain scalable, secure, and reliable cloud infrastructure on AWS.
  • Develop and optimise CI/CD pipelines to automate software builds, testing, and deployments.
  • Manage containerised applications using Docker, Kubernetes, Amazon EKS, and Helm.
  • Implement and maintain Infrastructure as Code (IaC) using Terraform and AWS CloudFormation.
  • Monitor system performance, availability, and security using observability tools such as AWS CloudWatch, Splunk, and Datadog.
  • Troubleshoot and resolve complex infrastructure, application, and deployment issues.
  • Manage artifact repositories and software dependencies using tools such as JFrog.
  • Automate operational processes through scripting and configuration management.
  • Improve developer workflows and enhance the overall developer experience.
  • Explore and adopt AI-powered development tools, including coding assistants and Large Language Models (LLMs), to improve engineering efficiency.
  • Collaborate with development, security, and infrastructure teams to implement DevOps best practices.
  • Drive continuous improvements in system reliability, automation, security, and operational efficiency.

Requirements

  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related discipline.
  • Minimum 5 years of software engineering experience, with proficiency in at least one programming language such as JavaScript, Java, Python, or .NET.
  • Minimum 3 years of hands-on experience with containerisation and orchestration technologies, including Docker, Kubernetes, Amazon EKS, and Helm.
  • Minimum 3 years of AWS experience, with a strong understanding of cloud services, infrastructure management, and cloud architecture.
  • Proven experience with Infrastructure as Code tools such as Terraform and AWS CloudFormation.
  • Strong understanding of CI/CD processes and hands-on experience with GitHub Actions.
  • Experience with monitoring, logging, and observability tools such as AWS CloudWatch, Splunk, or Datadog.
  • Familiarity with artifact repository management tools such as JFrog.
  • Strong Linux administration skills and proficiency in Shell scripting.
  • Experience in optimising developer workflows, automation, and development environments.
  • Ability to diagnose and troubleshoot complex technical issues across multiple technology layers.
  • Familiarity with AI-powered coding assistants, LLMs, and their applications in software engineering.
  • Strong understanding of software engineering principles, DevOps methodologies, and industry best practices.

Preferred Qualifications

  • AWS certifications, such as AWS Certified Solutions Architect or AWS Certified DevOps Engineer.
  • Kubernetes-related certifications, such as Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD).
  • Experience implementing AI-assisted development workflows or Agentic AI solutions.
  • Exposure to cloud security, DevSecOps practices, and infrastructure automation.
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