DevOps Engineer

Role Overview

We seek a competent DevOps Engineer to join our financial services client based in Singapore. This role is tailored for professionals possessing strong skills in automation, software development, and leveraging AI technologies. The primary aim is to modernize service management through engineering enhancements and AI-driven automation.

Key Responsibilities

• Create and maintain automation scripts, tools, and services to enhance service management workflows.
• Develop monitoring applications, alert-response scripts, recovery solutions, and generate system reports.
• Utilize APIs, Infrastructure-as-Code, and system integrations to establish scalable and consistent processes.
• Elevate monitoring systems by refining alert quality and improving system observability across platforms.
• Analyze recurrent operational issues to pinpoint areas for improved reliability and further automation.
• Collaborate with operations and engineering teams to improve service support and readiness for production.
• Contribute to AI-enabled initiatives like intelligent assistants, automated runbooks, incident summarization, and insight generation.
• Promote AI tool adoption aimed at reducing manual operational workload and boosting efficiency.
• Adhere strictly to change management, risk, audit, and control protocols.
• Ensure all automation and tools comply with corporate security and compliance policies.
• Support and maintain up-to-date documentation, operational runbooks, and process enhancement efforts.

Qualifications and Experience

• Between 2 to 4 years of relevant experience in DevOps, software development, or closely related fields.
• Proven ability in Python or other scripting languages for automation and integrating systems.
• Comfortable working in Linux/Unix environments and understanding distributed systems architecture.
• Hands-on experience with Microsoft Power Platform tools including Power Apps, Power Automate, Power BI, and Dataverse.
• Knowledge of monitoring and observability principles encompassing metrics, logs, alerts, and dashboards.
• Excellent analytical and problem-solving aptitude complemented by clear communication skills.
• Experience with Terraform, Ansible, continuous integration/deployment pipelines, or GitOps workflows.
• Familiarity with IT Service Management (ITSM) tools such as ServiceNow.
• Exposure to container orchestration technologies like Kubernetes and foundational platform engineering concepts.
• Working knowledge of cloud environments such as AWS or Microsoft Azure.
• Understanding or experience in artificial intelligence and machine learning concepts, particularly generative AI implementations.
• Awareness of secure automation practices within enterprise control frameworks.
• Background in financial services or operating within regulated industries is desirable.

Compliance

CEI No: R1659595 / EA No: 07C3147