AI Engineer (AWS, Splunk ITSI, Datadog, Python, New Relic, Azure, Dynatrace, ML, Service Now, Ansible, Rest API, ITIL)

EXASOFT CONSULTING PTE. LTD.

Singapore

On-site

SGD 180,000 - 240,000

Full time

4 days ago
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Job summary

EXASOFT CONSULTING PTE. LTD. is seeking a senior observability architect to design, implement, and optimize enterprise monitoring across AWS, Azure, and GCP.

You will lead the evaluation and deployment of Splunk ITSI, Datadog, Dynatrace, New Relic, and AppDynamics to deliver reliable service health and proactive incident management. You will develop dashboards, alerts, and SLIs/SLOs while integrating with ServiceNow, CMDB, CI mappings, and service mapping.

Qualifications

  • Bachelor's degree in CS, Engineering or IT with strong IT operations background.
  • 15+ years of experience in AIOps, observability, or related IT operations roles.
  • Extensive hands-on experience with Splunk ITSI and enterprise observability platforms.
  • Proven experience with multiple cloud providers (AWS, Azure, GCP) and automation tools.
  • Strong leadership and mentoring skills; stakeholder management.

Responsibilities

  • Design, implement, and optimize enterprise observability solutions across cloud environments.
  • Architect and maintain observability stacks using Splunk ITSI, Datadog, Dynatrace, New Relic, and AppDynamics.
  • Develop dashboards, KPIs, alerts, and service health monitoring.
  • Analyze logs, metrics, and telemetry to investigate incidents and perform root-cause analysis.
  • Apply AIOps, ML, and predictive analytics for proactive incident management.
  • Integrate observability platforms with ServiceNow, CMDB, CI relationships, and service mapping.
  • Automate monitoring using Python, Linux, Ansible, and REST APIs.
  • Collaborate with infrastructure, application, cloud, and operations teams to improve reliability.

Skills

AIOps
Observability
Splunk ITSI
Datadog
Dynatrace
New Relic
AppDynamics
Python
Linux
Ansible
REST APIs
AWS
Azure
GCP
ITIL
SRE

Education

Bachelor's degree in Computer Science or related field

Tools

ServiceNow
CMDB
CI relationships
Service mapping

Job description

Responsibilities:
  • Design, implement, and optimize enterprise observability solutions using Splunk ITSI.
  • Architect and maintain observability solutions using Datadog for infrastructure, application, log, and service monitoring.
  • Implement and optimize Dynatrace for application performance monitoring, infrastructure visibility, and service health analysis.
  • Utilize New Relic for application monitoring, performance analysis, and proactive issue detection.
  • Implement AppDynamics for application performance monitoring, transaction analysis, and application health management.
  • Develop and enhance dashboards, KPIs, service views, alerts, and service-health monitoring for critical applications and infrastructure.
  • Analyze logs, events, metrics, and telemetry to investigate incidents, identify anomalies, and support root-cause analysis.
  • Implement intelligent event correlation, alert optimization, and noise-reduction techniques to improve operational efficiency.
  • Apply AIOps, machine learning, and predictive analytics for anomaly detection, predictive monitoring, and proactive incident management.
  • Integrate observability platforms with ServiceNow, CMDB, CI relationships, and service mapping to improve service visibility and dependency mapping.
  • Design and implement observability solutions across AWS, Azure, and GCP cloud environments.
  • Establish and monitor SLI/SLO metrics to improve service reliability and operational performance.
  • Automate monitoring and operational processes using Python, Linux, Ansible, and REST APIs.
  • Collaborate with infrastructure, application, cloud, and operations teams to improve service reliability and observability standards.
Requirements:
  • 15+ years of experience in AIOps, observability, infrastructure monitoring, systems engineering, or related IT operations roles.
  • Bachelor’s degree in computer science, Engineering, Information Technology, or equivalent.
  • Strong hands-on experience with Splunk ITSI and enterprise observability platforms.
  • Hands-on experience with Datadog, Dynatrace, New Relic, and/or AppDynamics.
  • Experience in ServiceNow, CMDB, CI relationships, and service mapping.
  • Experience with AIOps, machine learning, anomaly detection, event correlation, and predictive analytics.
  • Experience in Python, Linux, Ansible, and REST APIs for automation and integration.
  • Experience working with AWS, Azure, and/or GCP cloud environments.
  • Strong understanding of ITIL, SRE, incident management, and SLI/SLO concepts.
  • Strong analytical and troubleshooting skills using logs, metrics, events, and telemetry.
  • Experience in designing and supporting enterprise-scale observability and monitoring platforms.
  • Strong stakeholder management, technical leadership, and mentoring skills.
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