Infogain India is hiring For Dynatrace Engineer@Pune/Mumbai/Noida/BNG

We are having Immediate requirement for Dynatrace in Infogain India Pvt Ltd. We are seeking an experienced Dynatrace Application Performance Monitoring Engineer to join our team. The ideal candidate will have hands-on experience in implementing and managing Dynatrace for enterprise-grade monitoring, optimization, and troubleshooting of distributed applications, microservices, containers, and large-scale ecosystems. This role requires expertise in Dynatrace, cloud-native technologies, and scripting/automation tools

Skills : Dynatrace with Distributed Tracing, PurePath, Real User Monitoring, Log Monitoring

Experience: 3.5 to 5 Yrs

Location: Noida/Bangalore/Pune/Mumbai/Gurgaon/Kochi-Hybrid

Notice period- Immediate joiners

Educational Qualification: BE/BTech/MCA /M.tech

We are seeking an experienced Dynatrace Application Performance Monitoring Engineer to join our team. The ideal candidate will have hands-on experience in implementing and managing Dynatrace for enterprise-grade monitoring, optimization, and troubleshooting of distributed applications, microservices, containers, and large-scale ecosystems. This role requires expertise in Dynatrace, cloud-native technologies, and scripting/automation tools. If you are passionate about application performance monitoring and enjoy working in complex, distributed environments.

Key Responsibilities:

• Implement, manage, and optimize Dynatrace for monitoring distributed applications, microservices, containers, and large enterprise ecosystems.
• Leverage Dynatraces capabilities, including Distributed Tracing, PurePath, Real User Monitoring (RUM), Synthetic Monitoring, and Log Monitoring, to enhance performance visibility.
• Integrate Dynatrace with third-party tools like ITSM (ServiceNow), ticketing systems, and CI/CD pipelines to automate monitoring and alerting processes.
• Collaborate with cross-functional teams to define and implement monitoring best practices, including defining Service Level Objectives (SLOs), Service Level Indicators (SLIs), and monitoring-as-code.
• Utilize cloud-native technologies like Kubernetes, Docker, and container orchestration tools to monitor containerized applications in dynamic cloud environments (AWS, Azure).
• Automate monitoring workflows, alerting systems, and performance optimization tasks using scripting languages such as Python and Bash.
• Troubleshoot application performance issues, identify bottlenecks, and recommend optimization strategies to improve system performance.
• Continuously improve monitoring strategies and tools to ensure optimal application performance and system reliability.