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Senior, niche performance-engineering role with specialized cloud/serverless skills and non-Tier-1 employer lowers applicant competition.
Role requires deep cloud-native, serverless, and performance engineering expertise, limiting cross-industry transferability.
Multiple explicit years, senior title, and many mandatory technical requirements create stringent shortlisting filters.
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Lead and scale performance engineering strategy across the organization focusing on cloud-native, serverless, and distributed SaaS platforms.
Architect and build scalable, AI-driven performance platforms enabling autonomous performance testing and analysis across teams.
Drive integration of performance testing into CI/CD pipelines and own performance in production using observability and monitoring tools.
8+ years of performance engineering experience in large-scale SaaS or cloud-native environments.
Proficiency with performance testing tools such as JMeter, Gatling, or Locust and strong knowledge of serverless architectures (e.g., AWS Lambda).
Experience with performance monitoring/observability tools like CloudWatch, Datadog, or New Relic and CI/CD integration.
Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
Experienced senior-level performance engineer (Staff/Lead) with 3+ years in leadership roles driving platform-wide performance initiatives.
Deep expertise in designing and executing large-scale performance tests and optimizing event-driven, distributed, and serverless systems.
Strong background in building AI/ML-driven performance optimization solutions and influencing architectural decisions across teams.