DevOps Engineer

DevOps Engineer (Automation & Service Reliability) | 6-Month Contract

Location: 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 Responsibilities

Automation & 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.
  

Requirements

Essential Qualifications

• 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.

Preferred Qualifications

• 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.
  

Why Consider This Opportunity?

• Gain exposure to large-scale, business-critical enterprise platforms.

• Work on meaningful automation and service reliability initiatives.

• Develop practical experience with modern DevOps technologies, Microsoft Power Platform, and AI-enabled operations.

• Collaborate with experienced engineering and operations professionals in a global enterprise environment.
  

Interested candidates are encouraged to apply with an updated resume highlighting their relevant DevOps, Python automation, Microsoft Power Platform, and production support experience.