Morgan McKinley
DevOps Engineer - AI
Skills
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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