Arivuu AI Labs - Senior Dynatrace Engineer - Configuration Management

Key Responsibilities :

- Oversee the management and configuration of Dynatrace Managed for enterprise applications.

- Configure and optimize dashboards, synthetic monitors, business transactions, and key performance indicators (KPIs) for applications and infrastructure.

- Define, tune, and optimize problem detection rules, thresholds, and event correlation to reduce noise and improve alert quality.

- Develop custom metrics, health checks, and other monitoring solutions, ensuring full application and infrastructure coverage.

- Perform OneAgent and Cluster Node upgrades, ensuring minimal disruption and system stability.

- Onboard OneAgent for OpenShift and Kubernetes workloads based on monitoring requirements.

- Set up and manage ActiveGates for custom plugins, extensions, and synthetic monitoring.

- Implement integrations with ticketing, notification, and automation tools; build API-based automation for configuration management.

- Set up Real User Monitoring (RUM) for applications to gather performance insights.

- Troubleshoot complex issues, perform log analysis, and drive incidents to resolution.

- Collaborate with development, platform, and operations teams to integrate monitoring across tech stacks.

- Lead continuous improvement initiatives, such as reducing alert noise, enhancing dashboards, and expanding coverage.

- Manage incidents, service requests, change requests, and problem records in adherence to ITIL best practices.

- Handle SSL certificate renewals, port checks, and firewall configurations for security compliance.

- Engage with Dynatrace Support for issue escalation and ticket management.

- Mentor junior engineers, sharing Dynatrace best practices and facilitating knowledge transfer.

Required Qualifications :

- 6 to 8 years of hands-on experience with Dynatrace Managed in large-scale, enterprise environments.

- Extensive experience with OneAgent, ActiveGates, synthetic monitoring, and Real User Monitoring (RUM) configurations.

- Deep knowledge of application performance monitoring (APM), metrics gathering, and alert optimization.

- Proficiency with cloud environments (AWS, GCP) and container orchestration platforms (OpenShift, Kubernetes).

- Advanced understanding of monitoring best practices, performance tuning, and troubleshooting techniques.

- Strong Linux/Unix command-line skills for troubleshooting and scripting.

- Familiarity with networking concepts, including firewalls, SSL certificates, and port management.

- Experience with automation (e.g., Shell scripting, Python) and API integrations.