全职 DevOps Engineer - AI 工作, 薪水, Morgan McKinley 公司招聘中 - Ricebowl

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.