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

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.