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Niche performance engineering skills and seniority reduce applicant density despite metro location.
Highly specialized performance engineering, cloud, and SRE skills limit cross-industry transferability.
Explicit 10+ years plus mandatory performance, Azure, Kubernetes, and tooling requirements create strict filters.
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Lead design and implementation of automated end-to-end performance and load testing frameworks for distributed microservices in a cloud-native Azure environment.
Develop custom simulators, traffic generators, and mocks to test complex system dependencies; define and monitor key performance indicators (latency, throughput, error rates, scalability).
Collaborate with architecture, engineering, and SRE teams to analyze bottlenecks, drive resilience engineering including chaos testing, and optimize system performance and scalability.
10+ years of experience in QA, development, and automation with strong focus on performance engineering.
Proficiency in performance testing tools (K6, JMeter, Gatling or custom frameworks) and scripting languages like Python, C#, or Java.
Hands-on experience with Kubernetes (AKS preferred) and Azure cloud ecosystem.
Bachelor's or Master's degree in Computer Science or related field.
Experienced in performance engineering specifically for distributed microservices and cloud-native (Azure) environments.
Demonstrates strong operational ownership over performance KPIs and automated CI/CD integrated test frameworks.
Skilled at cross-functional collaboration with architecture, development, and SRE teams to improve production resilience and scalability.