





Niche senior performance SDET role at a lesser-known employer, reducing applicant competition.
Heavy performance engineering, SRE, and Azure expertise limit cross-industry transferability.
Explicit 10+ years and mandatory specialized performance, cloud, and SRE skills make filters strict.
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Own end-to-end design and implementation of automated performance and load testing frameworks for microservices in Azure cloud environment.
Develop custom simulators, traffic generators, and define/track performance KPIs including latency, throughput, error rates, and scalability limits.
Collaborate with architecture, engineering, SRE teams to analyze bottlenecks, tune performance (application, database, infrastructure), and drive capacity planning and resilience validation including chaos testing.
10+ years of experience in QA, development, and automation with strong focus on performance engineering.
Proficient in performance testing tools (K6, JMeter, Gatling, or custom), scripting languages (Python, C#, Java, or similar), Kubernetes (preferably AKS), and Azure cloud platform.
Experience integrating performance test frameworks into CI/CD pipelines and familiarity with DevOps practices.
Strong knowledge of observability tools (Prometheus, Grafana), database performance tuning, and understanding of SRE principles (SLI/SLO, error budgets).
Senior-level engineer with deep expertise in performance engineering within cloud-native microservices environments, especially Azure and Kubernetes (AKS).
Demonstrated ability to design and automate complex performance testing strategies including AI-driven testing, anomaly detection, and predictive capacity planning.
Experienced in cross-functional collaboration with architects, developers, and SRE teams to deliver scalable, resilient, production-grade distributed systems.