DevOps Engineer - Financial Services

About the role

A DevOps Engineer is sought for a financial services client in Singapore. The role suits someone with a strong foundation in automation, software development and AI-driven development, and focuses on modernizing service management through engineering, automation and AI-enabled capabilities.

Key responsibilities

• Develop and maintain automation, tooling and services to improve service management processes
• Build scripts and applications for monitoring, alert handling, recovery actions and reporting
• Leverage APIs, infrastructure-as-code and system integrations for scalable, repeatable workflows
• Improve monitoring, alert quality and observability across applications and platform services
• Analyze recurring issues and operational trends to find reliability and automation opportunities
• Partner with operations and engineering teams to improve service supportability and production readiness
• Contribute to AI-enabled solutions such as intelligent assistants and copilots, automated runbooks, incident summarization and insights, and help drive adoption of AI tools to reduce operational toil
• Work within established change, risk, audit and control frameworks, keeping automation aligned with security and compliance standards
• Support documentation, runbooks and operational process improvements

Required profile

• 2-4 years of experience in DevOps, software engineering or a similar field
• Experience with Python or scripting for automation and system integration
• Familiarity with Linux/Unix environments and distributed systems concepts
• Experience with ITSM tools such as ServiceNow
• Exposure to Kubernetes, containers or platform engineering concepts
• Exposure to AI/ML concepts or generative AI applications
• Knowledge of secure automation practices and enterprise controls
• Experience in financial services or regulated environments

Required skills

• Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)
• Terraform, Ansible, CI/CD pipelines or GitOps workflows
• Monitoring and observability (metrics, logs, alerts, dashboards)
• Cloud platforms (AWS and/or Azure)