DevOps Engineer (AL-FNC260724 007/01)

Xcellink Pte Ltd Open · verified Oct 24, 2026

On-site Singapore Contract Mid-level DevOps & Release

At a glance

Mid-level DevOps & Release role at Xcellink Pte Ltd. Singapore · contract.

Pay not stated DevOps Engineer salary

RoleDevOps & Release

SeniorityMid-level

LocationSingapore

WorkplaceOn-site

EmploymentContract

PostedJul 24, 2026 · 3mo ago

Role brief

devopsroles summary, based on the employer's posting.

What you'll do

Build and maintain AI platform infrastructure on Azure and AWS with Terraform and infrastructure-as-code practices
Create and refine CI/CD pipelines, then automate application and platform releases through DevOps and GitOps methods
Run Docker and Kubernetes environments supporting AI, machine learning and generative AI workloads
Set up monitoring, logging, security and governance, and help manage model deployment, versions and performance
Troubleshoot platform and infrastructure problems while working with engineering, security and architecture teams

What you bring

At least three years in DevOps, cloud, platform engineering or infrastructure automation
A diploma or degree in IT, computer science, computer engineering or a related discipline
Practical Terraform and infrastructure-as-code skills, plus experience building and maintaining CI/CD pipelines
Strong Docker and Kubernetes knowledge, hands-on Azure or AWS experience, and scripting ability

Who this fits

This contractor role suits a mid-level engineer focused on cloud infrastructure, Kubernetes and AI platform operations. The work is on-site in Singapore.

From the employer

We are looking for an experienced DevOps Engineer to design, build, and maintain scalable AI platforms that support enterprise AI, Machine Learning, and Generative AI initiatives. This role combines Cloud Engineering, DevOps, Platform Engineering, and MLOps, making it ideal for candidates passionate about automation, Kubernetes, cloud-native technologies, and AI platform operations.

You will work closely with cloud architects, infrastructure teams, and application developers to deliver secure, scalable, and highly available AI platforms.

Key Responsibilities

Design, implement, and manage cloud infrastructure using Terraform and Infrastructure-as-Code (IaC) practices.
Build and maintain AI platform environments across Azure and AWS.
Develop and optimize CI/CD pipelines using Azure DevOps, GitHub Actions, GitLab CI, or Jenkins.
Automate application and platform deployments using DevOps and GitOps methodologies.
Support AI/ML and Generative AI workloads, including deployment, monitoring, and lifecycle management.
Manage containerized environments using Docker and Kubernetes.
Implement platform monitoring, logging, observability, security, and governance best practices.
Support MLOps capabilities including model deployment, versioning, monitoring, and automation.
Collaborate with engineering, security, and architecture teams to improve platform reliability and operational efficiency.
Troubleshoot infrastructure, performance, security, and platform-related issues.

Requirements

Diploma or Degree in Information Technology, Computer Science, Computer Engineering, or related discipline.

Minimum 3 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Infrastructure Automation.
Strong hands-on experience with Terraform and Infrastructure-as-Code.
Experience building and maintaining CI/CD pipelines.
Strong knowledge of Docker and Kubernetes.
Hands-on experience with Azure and/or AWS cloud platforms.
Scripting experience in Python, PowerShell, Bash, or Shell scripting.
Knowledge of Git, version control, and DevOps best practices.
Experience supporting AI/ML platforms, MLOps environments, or Generative AI workloads is highly advantageous.
Familiarity with Azure OpenAI, Azure Machine Learning, AWS Bedrock, or similar AI services is a plus.
Experience with monitoring tools such as Prometheus, Grafana, Datadog, Splunk, or Azure Monitor.
Cloud, Kubernetes, Terraform, DevOps, or AI-related certifications are advantageous.