DevOps Engineer

Salt; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Salt is seeking a DevOps Engineer in Singapore for a leading financial services client. You will automate, build tooling, and enable AI-driven capabilities to modernize service management and drive production readiness.

You will develop monitoring, alerting, and reporting scripts, collaborate with operations and engineering teams, and ensure secure, compliant automation aligned with enterprise controls and documentation standards.

Qualifications

• 3+ years in DevOps, software engineering, or similar field.
• Experience with automation tooling and scripting.
• Familiarity with Linux/Unix and distributed systems concepts.
• Experience with Power Platform (Power Apps, Power Automate, Power BI).
• Strong monitoring/observability knowledge (metrics, logs, dashboards).
• Experience with Terraform, Ansible, CI/CD pipelines, or GitOps workflows.
• Knowledge of ITSM tools such as ServiceNow.
• Exposure to Kubernetes, containers, or platform engineering.
• Cloud experience in AWS and/or Azure.
• Awareness of AI/ML concepts or generative AI applications.

Responsibilities

• Develop and maintain automation tooling and services to improve service management.
• Build scripts and applications for monitoring, alerting, recovery actions, and reporting.
• Leverage APIs, IaC, and system integrations for scalable workflows.
• Improve observability across applications and platform services.
• Analyze recurring issues to identify reliability and automation opportunities.
• Collaborate with operations and engineering teams to improve production readiness.
• Contribute to AI-enabled solutions like intelligent assistants and runbooks.
• Drive adoption of AI tools to reduce toil and boost productivity.
• Operate within change, risk, audit, and enterprise security controls.
• Document processes, runbooks, and operational improvements.

Skills

Automation

Python scripting

Linux/Unix

Power Platform

Terraform

Ansible

Kubernetes

Cloud (AWS/Azure)

CI/CD / GitOps

ITSM (ServiceNow)

Tools

Terraform

Ansible

GitOps pipelines

Kubernetes

ServiceNow

Power Platform (Power Apps/Automate/BI)

Dataverse

Job description

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