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Senior, niche cloud-serverless performance role in a metro market creates moderate candidate competition.
Highly specialized cloud-native, serverless, and performance engineering skills reduce cross-industry transferability.
Multiple mandatory senior technical filters (8+ years, serverless, JMeter, observability, AI-driven performance) increase selectivity.
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Define and lead organization-wide performance engineering strategy for cloud-native SaaS platforms focusing on serverless and distributed architectures.
Architect and build scalable, AI-driven performance testing platforms and integrate them into CI/CD pipelines for continuous performance validation.
Own performance monitoring and optimization in production using observability tools and drive cost-performance and capacity planning initiatives.
8+ years of experience in performance engineering in large-scale SaaS or cloud-native environments.
Strong expertise with performance testing tools (e.g., JMeter, Gatling, Locust) and serverless architectures (AWS Lambda, API Gateway).
Hands-on experience with performance monitoring/observability tools such as CloudWatch, Datadog, New Relic, and distributed tracing.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Experienced in leading performance engineering strategy with focus on serverless, distributed, and event-driven cloud-native systems.
Proficient in designing AI/ML-driven performance solutions and integrating performance engineering into CI/CD workflows.
Skilled at cross-team collaboration influencing architecture, cost-performance optimization (FinOps), and mentoring engineers in a SaaS environment.