Salt Hiring! Full Time DevOps Engineer in - Ricebowl

We are looking for a DevOps Engineer for one of our financial services clients in Singapore. This role is ideal for an engineer with a strong foundation in automation, software development, and AI driven development. In this role, you will help modernize service management through engineering, automation, and AI-enabled capabilities.

What you’ll do:

• 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 to enable scalable and repeatable workflows
• Improve monitoring, alert quality, and system observability across applications and platform services
• Analyze recurring issues and operational trends to identify reliability and automation opportunities
• Partner with operations and engineering teams to enhance service supportability and production readiness
• Contribute to AI-enabled solutions such as: Intelligent assistants and copilots, Automated runbooks and knowledge retrieval, Incident summarization and insights
• Help drive adoption of AI tools to reduce operational toil and improve productivity
• Operate within established change, risk, audit, and control frameworks
• Ensure automation and tooling align with enterprise security and compliance standards
• Support documentation, runbooks, and operational process improvements

What you’ll need:

• 2–4 years of experience in DevOps, software engineering, or similar field
• Experience with Python or scripting for automation and system integration
• Familiarity with Linux/Unix environments and distributed systems concepts
• Experience with Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)
• Understanding of monitoring and observability (metrics, logs, alerts, dashboards)
• Strong analytical, problem-solving, and communication skills
• Experience with Terraform, Ansible, CI/CD pipelines, or GitOps workflows
• Experience with ITSM tools such as ServiceNow
• Exposure to Kubernetes, containers, or platform engineering concepts
• Familiarity with cloud platforms (AWS and/or Azure)
• Exposure to AI/ML concepts or generative AI applications
• Knowledge of secure automation practices and enterprise controls
• Experience in financial services or regulated environments

CEI No: R1659595 / EA No: 07C3147