Lead Performance Engineer

Key ResponsibilitiesPerformance Testing: Design and execute large-scale strategies using Apache JMeter.CI/CD Integration: Embed performance testing into pipelines and automate workflows.Observability: Lead monitoring initiatives with Dynatrace.AI Insights: Leverage Davis AI for anomaly detection, insights, and root cause analysis.Automation Frameworks: Build frameworks for testing, reporting, and quality gates.Bottleneck Resolution: Diagnose and resolve issues across applications, APIs, databases, middleware, and infrastructure.ML Applications: Apply ML for workload modelling, traffic forecasting, and optimization.Collaboration: Partner with Dev, DevOps, Cloud, and Architecture teams.Governance: Define standards, best practices, and governance.Leadership: Mentor engineers and provide technical leadership.Executive Reporting: Present findings and recommendations to stakeholders.Observability & MonitoringStrong hands-on experience with Dynatrace.Proven use of Davis AI in production.Expertise in APM, Observability, Root Cause Analysis, and Performance Diagnostics.Automation & AIExperience developing Performance Automation frameworks.Proficiency in Python scripting.Applying AI/ML for traffic prediction, load simulation, workload modelling, and performance optimization.Cloud & InfrastructureStrong experience with AWS, Azure, or GCP.Expertise in JVM tuning, database optimization, API performance analysis, and infrastructure monitoring.Good-to-HaveExperience with Gatling, k6, or LoadRunner.Exposure to Grafana and OpenTelemetry.Experience with Kubernetes Performance Tuning.Dynatrace certifications.Client-facing consulting or professional services background.