Intelligent Automation Engineer

2 weeks ago

Singapore DBS Bank Full time $90,000 - $120,000 per year
About the Role:
  • Build intelligent bots and dynamic scripts that automate knowledge and action across key systems and services.
  • Accelerate incident resolution through data-driven diagnostics and automated recovery flows.
  • Implement predictive anomaly detection and self-healing mechanisms to prevent outages and reduce manual intervention.
  • Automate repetitive fixes and workarounds, freeing up engineering time and reducing alert fatigue.
  • Enhance alert correlation and early incident detection by applying AI/ML models to observability and telemetry data.
  • Consolidate automation efforts across teams, ensuring visibility, accountability, and tracking of progress to avoid duplication.
  • Collaborate with SREs, DevOps, and software engineers to integrate automation into CI/CD pipelines, monitoring systems, and production environments.
  • Use incident and performance data to continuously identify areas for improvement and automation expansion.
Requirements:
  • 3–7 years of hands-on experience in automation engineering, DevOps, or infrastructure roles.
  • Proficiency in scripting and programming (Python preferred) and infrastructure automation (Terraform, Ansible, etc.).
  • Experience with observability platforms (e.g., Datadog, Splunk, Prometheus, Grafana) and incident management workflows.
  • Understanding of anomaly detection, predictive analytics, and AIOps practices.
  • Strong collaboration and communication skills—you'll be working across multiple teams and systems.
Nice-to-Haves:
  • Experience with chatbot or conversational AI frameworks (e.g., Microsoft Bot Framework, Dialogflow).
  • Familiarity with cloud-native ecosystems (AWS, GCP, or Azure) and Kubernetes-based environments.
  • Exposure to ITSM tools and process frameworks (e.g., ServiceNow, ITIL).

DBS Bank

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