DevOps Engineer
- Compensation
- Not disclosed
- Location
- Singapore, Singapore
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- 2+ years
- Category
- Devops
- Posted
Skills
Must have
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
- 2–4 years of experience in DevOps, software engineering, automation engineering, or a related technical field.
- Hands-on experience with Python or other scripting languages for automation and system integration.
- Familiarity with Linux/Unix environments and distributed systems concepts.
- Experience with Microsoft Power Platform, including Power Apps, Power Automate, Power BI, or Dataverse.
- Understanding of monitoring and observability practices, including metrics, logs, alerts, and dashboards.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
Nice to have
- Experience with Terraform, Ansible, CI/CD pipelines, or GitOps workflows.
- Familiarity with IT Service Management (ITSM) tools such as ServiceNow.
- Exposure to Kubernetes, containerisation, or platform engineering concepts.
- Working knowledge of AWS and/or Microsoft Azure.
- Exposure to generative AI, AI/ML concepts, or AI-enabled operational automation.
- Understanding of secure automation practices and enterprise governance controls.
- Previous experience in financial services or other regulated environments.
Full description
DevOps Engineer (Automation & Service Reliability) | 6-Month ContractLocation: Singapore
Employment Type: Contract (6 months)
Working Schedule: 5 days per week, 40 hours per week
Industry: Financial Services
About the Opportunity
We are seeking a motivated DevOps Engineer to join the Service Management team of a leading global financial services organisation.
This role sits at the intersection of software engineering and IT operations, focusing on improving production stability, operational efficiency, service reliability, and automation across large-scale enterprise platforms.
The successful candidate will work closely with engineering and operations teams to modernise service management processes through Python scripting, Microsoft Power Platform, observability solutions, and AI-enabled automation.
Key ResponsibilitiesAutomation & Engineering
- Design, develop, and maintain automation scripts, internal tools, and applications to streamline service management processes.
- Build automated workflows for monitoring, alerting, reporting, and operational recovery.
- Leverage Python, APIs, infrastructure-as-code, and system integrations to improve operational efficiency.
- Reduce manual intervention through scalable and repeatable automation solutions.
Observability & Service Reliability
- Enhance monitoring capabilities, alert quality, and system observability across enterprise applications and platforms.
- Analyse recurring incidents and operational trends to identify automation and reliability improvement opportunities.
- Collaborate with engineering and operations teams to strengthen production readiness and service supportability.
AI & Operational Innovation
- Support the development and implementation of AI-enabled operational solutions, including intelligent assistants, automated runbooks, and knowledge retrieval tools.
- Explore opportunities to automate incident summarisation, reporting, and operational insights.
- Contribute to initiatives that improve productivity through responsible adoption of AI technologies.
Governance & Operational Controls
- Ensure automation solutions comply with established security, risk, audit, and change management frameworks.
- Maintain technical documentation, operational runbooks, and process improvements.
- Support controlled and compliant execution of production changes.