DevOps Engineer (AWS)

FPT ASIA PACIFIC PTE. LTD.; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

FPT ASIA PACIFIC PTE. LTD. seeks experienced DevOps Engineers to build and optimise an Agentic Cloud Development environment, strengthening security, productivity, and delivery processes.

You will collaborate with cross-functional teams to scale cloud infrastructure, CI/CD pipelines, and development workflows for reliability and security. The role emphasizes container orchestration with Docker/Kubernetes/EKS, Terraform, CloudFormation, and observability tooling to ensure high availability.

Qualifications

• Bachelor's degree in CS/IT/SE or related field.
• Minimum 5 years of software engineering experience with proficiency in at least one programming language.
• Minimum 3 years of hands-on containerisation/orchestration with Docker, Kubernetes, EKS, Helm.
• Minimum 3 years of AWS experience with cloud services and 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 CloudWatch, Splunk, or Datadog.
• Familiarity with artifact repository management tools such as JFrog.
• Strong Linux administration skills and Shell scripting.
• Experience in optimising developer workflows, automation, and development environments.
• Familiarity with AI-powered coding assistants, LLMs, and their applications.

Responsibilities

• Design, implement, and maintain scalable, secure cloud infrastructure on AWS.
• Develop and optimise CI/CD pipelines to automate builds, testing, and deployments.
• Manage containerised applications using Docker, Kubernetes, EKS, and Helm.
• Implement and maintain IaC using Terraform and AWS CloudFormation.
• Monitor system performance, availability, and security using observability tools.
• Troubleshoot and resolve complex infrastructure and deployment issues.
• Manage artifact repositories and software dependencies with JFrog.
• Automate operational processes through scripting and configuration management.
• Improve developer workflows and experience.
• Explore and adopt AI-powered development tools to improve efficiency.
• Collaborate with development, security, and infra teams to implement DevOps best practices.
• Drive continuous improvements in reliability, automation, security, and efficiency.

Skills

DevOps engineering

Cloud computing

Kubernetes

Docker

Terraform

GitHub Actions

CI/CD pipelines

Linux administration

Shell scripting

Programming (JavaScript/Java/Python/.N

Education

Bachelor's degree in Computer Science/IT/Software Engineering

Tools

Docker

Kubernetes

EKS

Helm

Terraform

AWS CloudFormation

JFrog

Job description

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.