Senior SDET Performance Engineering

Senior SDET specializing in Performance Engineering in a cloud-native Azure environment. Drives scalability, reliability, and performance validation across distributed microservices; designs automated performance frameworks, builds simulators/mocks, defines KPIs, and partners with engineering, architecture, and SRE teams for production-grade resilience. Key responsibilities include designing end-to-end performance/load testing for microservices, building traffic generators and mocks, tracking KPIs (latency, throughput, error rate, saturation), developing automated performance test frameworks integrated into CI/CD (Jenkins, GitHub Actions, GitLab), executing load/stress/spike/endurance/chaos testing, and collaborating with architects, developers, product owners, and SRE teams to optimize system performance. Also analyzes bottlenecks across application, database, and infrastructure layers; works with Azure services for performance tuning; implements observability using Prometheus, Grafana, and APM tools; optimizes Redis, database queries (MariaDB, MySQL), and messaging systems; supports resilience engineering and chaos testing; drives RCA for performance issues and production incidents; contributes to capacity planning and scalability strategy. Preferred/related capabilities include AI-driven performance engineering concepts, AI-based anomaly detection, and extensive exposure to related tooling (Azure Monitor, OpenAI GenAI, Dynatrace, Datadog, New Relic, Prometheus/Grafana with ML plugins, ELK with ML, Gremlin/Chaos Monkey, k6 with AI extensions).