Dynatrace administration across GCP infrastructure and applications
Define standards for metric ingestion, log management, dashboards, and cost optimization
Drive automation and integration with cloud-native monitoring
Key Responsibilities:
- Define standards for custom metrics , anomaly detection, and AI-driven problem analysis
- Architect log ingestion pipelines for application and infrastructure logs into Dynatrace
- Develop cost optimization strategies: licensing management, data retention policies, and effective metric collection
- Integrate Dynatrace with GCP Cloud Monitoring, CI/CD pipelines, and third-party observability tools
- Automate monitoring deployments and configurations using Terraform and GitOps principles
- Mentor teams on observability best practices and performance engineering
Key Skills:
- Enterprise Dynatrace architecture and advanced customization
- GCP observability stack (Cloud Monitoring, Logging, Pub/Sub integration)
- Advanced metric ingestion, dashboards, and alerting strategies
- Log management and distributed tracing
- Terraform for IaC and monitoring automation
- Cost optimization and FinOps for monitoring tools
Job Family
Research Development
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
📌 Cloud Support Engineer - Level 3 (Senior Engineer) (Chennai)
🏢 Renault Nissan Technology & Business Centre India
📍 Chennai
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