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DevOps Engineer - AI

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Onsite

DevOps Engineer - AI

Morgan McKinley

DevOps Engineer - AI

Skills

DockerPythonAIAWSAnsibleLinuxKubernetesNo-code ApplicationsNo-code AutomationsServiceNowMicrosoft Power PlatformCompliancePower BITerraformAzure

1 day ago

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Important information


Contract type:

Freelance / Contract

Location:

Singapore

Work mode:

Onsite

Published on:

21 October 2026

What they need


Job Title: DevOps Engineer

Job Type: 6 months contract with a possibility to extend or to go perm!

About the Role

Are you a DevOps or Software Engineer looking to gain hands-on experience with large-scale production systems and cutting-edge, AI-driven automation?

We are seeking a proactive Analyst, DevOps Engineer to join our Service Management team. In this role, you will play a critical part in modernizing enterprise service management through advanced automation, low-code capabilities, and AI-enabled operations. You will partner across operations and engineering teams to reduce manual toil, enhance platform reliability, and boost system observability.

Key Responsibilities

  • Develop and maintain automation scripts, custom tools, and system integrations using Python, APIs, and Infrastructure-as-Code to streamline operational workflows.
  • Enhance monitoring, log aggregation, and alert quality across applications. Analyze recurring incident trends to drive reliability improvements and platform supportability.
  • Contribute to the development and adoption of AI-enabled tools, including intelligent Copilots, automated runbooks, smart knowledge retrieval, and AI-driven incident summarization.
  • Build and maintain workflows, applications, and dashboards using the Microsoft Power Platform (Power Apps, Power Automate, Power BI, and Dataverse).
  • Ensure all automation adheres to strict security, risk, audit, and compliance standards within a regulated enterprise framework.

Qualifications & Requirements

Required:

  • 2–4 years of experience in DevOps, Software Engineering, or a related technical domain.
  • Automation & Scripting: Strong proficiency in Python or Unix/Linux shell scripting for system integration and workflow automation.
  • Microsoft Power Platform: Practical experience working with Power Apps, Power Automate, Power BI, and Dataverse .
  • Solid understanding of Linux/Unix environments, distributed systems, and observability concepts (metrics, logs, alerts, dashboards).
  • Excellent analytical, problem-solving, and cross-team communication skills.

Preferred (Nice-to-Have):

  • Hands-on experience with Terraform, Ansible, CI/CD pipelines, or GitOps workflows.
  • Familiarity with enterprise ITSM platforms like ServiceNow .
  • Exposure to Cloud Platforms (AWS or Azure) and containerization/orchestration ( Kubernetes, Docker ).
  • Understanding of Generative AI / AI-assisted development concepts.
  • Background in financial services or highly regulated enterprise environments.

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