DevOps Engineer

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

Job summary

Russell Tobin is seeking an Analyst, DevOps Engineer to join the Service Management team. The role emphasizes automation, software development, and AI-driven development to modernize service management and improve platform reliability.

You will partner with operations and engineering to reduce manual toil, enhance observability, and govern production readiness through scalable automation and AI-enabled solutions such as runbooks and copilots.

Qualifications

• 4+ years in DevOps, software engineering, or related field.
• Experience with Python or scripting for automation and integration.
• Familiarity with Linux/Unix and distributed systems concepts.
• Knowledge of monitoring and observability (metrics, logs, alerts, dashboards).
• Strong analytical, problem-solving, and communication skills.

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 to enable scalable 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.
• Assist with automated runbooks and knowledge retrieval; incident summaries and insights.
• Help drive adoption of AI tools to reduce toil and boost productivity.
• Operate within change, risk, audit, and control frameworks; ensure security/compliance alignment.

Skills

Analytical thinking

Problem solving

Communication

Tools

Terraform

Ansible

CI/CD pipelines

GitOps

ServiceNow

Power Platform

Job description

We are seeking an Analyst, DevOps Engineer to join the Service Management team. 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. Partnering across operations and engineering teams, you will enhance platform reliability, reduce manual effort, and improve observability and operational governance.

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 to enable scalable and repeatable workflows

Observability & Reliability

• 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

Governance & Controls

• 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

Required

• 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

Preferred

• 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