DevOps Engineer (AI Infrastructure)

OOm Pte Ltd; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A fast-growing digital agency is seeking a skilled DevOps Engineer in Singapore to manage CI/CD pipelines and cloud infrastructure for AI-powered products. You will set up and maintain systems, ensuring scalability and security, while collaborating with cross-functional teams. Ideal candidates have robust experience with AWS or GCP, solid CI/CD knowledge, and familiarity with Docker and Kubernetes. The role offers growth opportunities in a dynamic environment. Join us to work on impactful AI products.

Benefits

Growth opportunities

Collaborative team environment

Autonomy in infrastructure optimization

Qualifications

• 3+ years of DevOps or relevant infrastructure experience required.
• Hands-on experience with AWS and GCP is preferred.
• Solid understanding of CI/CD and tools like GitHub Actions or Jenkins.
• Experience with Docker and Kubernetes is essential.

Responsibilities

• Design and maintain CI/CD pipelines for AI/ML workflows.
• Manage cloud infrastructure focusing on scalability and security.
• Automate data pipelines with AI engineers and software developers.
• Implement infrastructure as code using tools like Terraform.

Skills

DevOps

Cloud providers (AWS, GCP)

CI/CD principles

Docker

Kubernetes

Infrastructure as Code (IaC)

Networking

Machine Learning workflows

Tools

Terraform

GitHub Actions

GitLab CI

Jenkins

MLflow

Airflow

Kubeflow

Prometheus

Grafana

CloudWatch

Job description

About Us

We are a fast-growing digital agency building AI-powered products. Our AI team is expanding, and we are looking for a skilled DevOps Engineer to help us scale, automate, and secure our infrastructure.

Role Overview

You will be responsible for setting up and managing the CI/CD pipelines, infrastructure automation, and cloud environments that power our AI/ML workflows. This role is ideal for someone who thrives in fast-paced environments and is excited by the challenge of enabling scalable AI product delivery.

Key Responsibilities

• Design, implement, and maintain CI/CD pipelines for AI models, APIs, and supporting applications.
• Set up and manage cloud infrastructure (AWS, GCP, or equivalent) with a strong focus on scalability, cost optimization, and security.
• Support containerized environments using Docker and Kubernetes (EKS, GKE, etc.).
• Work closely with AI engineers and software developers to automate data pipelines, model training/deployment, and monitoring.
• Implement and maintain infrastructure as code (IaC) using tools like Terraform or Pulumi.
• Monitor system performance, troubleshoot production issues, and ensure system reliability and uptime.
• Enforce best practices in DevOps, security, versioning, and documentation.

Requirements

• 3+ years of DevOps, Site Reliability Engineering, or relevant infrastructure experience.
• Strong hands-on experience with cloud providers (AWS and GCP preferred).
• Solid understanding of CI/CD principles and experience with tools like GitHub Actions, GitLab CI, or Jenkins.
• Experience with Docker, Kubernetes, and container orchestration.
• Familiarity with IaC tools such as Terraform, CloudFormation, or Pulumi.
• Working knowledge of networking, security, and access control in cloud environments.
• Exposure to machine learning or AI deployment workflows is a strong plus.
• Comfortable collaborating with cross-functional teams including data scientists, backend engineers, and product managers.

Nice to Have

• Experience deploying AI/ML pipelines with tools like MLflow, Airflow, or Kubeflow.
• Understanding of GPU/TPU setup and auto-scaling strategies for training/inference workloads.
• Monitoring and logging using Prometheus, Grafana, CloudWatch, or similar tools.

Why Join Us

• Work on real AI products with tangible impact.
• Autonomy to shape and optimize our AI infrastructure.
• A collaborative and ambitious team, with leadership open to innovation and experimentation.
• Opportunities for growth and cross-disciplinary exposure across AI, web, and product development.