Dynatrace Reliability Engineer

Reliability Engineer:-
• Design and implement observability strategies using Dynatrace to monitor application performance, infrastructure health, and user experience.
• Set up real-time monitoring, dashboards, alerts, and anomaly detection for proactive incident management.
• Analyze performance bottlenecks and optimize applications, APIs, databases, and cloud infrastructure.
• Conduct root cause analysis (RCA) and post-mortems for incidents, driving long-term reliability improvements.
• Work closely with DevOps, development, and infrastructure teams to improve system reliability and scalability.
• Define and track Service Level Indicators (SLA)
• Automate monitoring and performance tuning processes to enhance operational efficiency.
• Provide expertise in log analysis, distributed tracing, and AI-driven performance insights.
• Mentor teams on best practices for observability, incident response, and proactive system health management.

Required Skills & Qualifications:-
• 5+ years of experience in site reliability engineering (SRE), performance monitoring, or infrastructure reliability.
• Hands-on experience with Dynatrace, including setup, configuration, dashboarding, and troubleshooting.
• Strong knowledge of APM (Application Performance Monitoring), log management, and distributed tracing.
• Experience with incident response, root cause analysis, and system optimization.
• Strong scripting skills (Python, Bash, PowerShell) for automation.
• Familiarity with CI/CD pipelines and DevOps practices.
• Strong analytical and problem-solving skills with a data-driven approach.
• Experience with additional observability tools (New Relic, Splunk, Prometheus, Grafana) is a plus.

Nice to Have:-
• Dynatrace certification or relevant training.
• Experience in performance testing and load testing (JMeter, LoadRunner).
• Exposure to AIOps and machine learning-driven monitoring.
• Experience with chaos engineering to test system resilience.
• Optimize cloud-based environments (AWS, Azure, GCP) for high availability and resilience.
• Proficiency in monitoring microservices, Kubernetes, cloud platforms (AWS/Azure/GCP), and containerized environments.

Qualification:- BACHELOR OF COMPUTER SCIENCE