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Senior, niche performance-engineering specialization reduces applicant pool despite metro location.
Role requires specialized performance engineering and compliance experience, limiting cross-industry transferability.
Explicit 14+ years requirement plus mandatory deep performance, observability, and database expertise.
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Drive the technical vision and execution roadmap for an enterprise-wide performance engineering platform focused on proactive, shift-left testing and performance analytics.
Architect and maintain a developer-centric, reusable performance automation framework with integrated real-time monitoring and performance gates within CI/CD pipelines.
Lead organizational performance engineering processes, mentoring cross-functional teams to embed advanced performance standards and metrics into development lifecycles, including AI product initiatives.
14+ years professional software engineering and quality assurance experience with proven leadership in distributed performance testing platforms and process changes.
Expert-level proficiency with load generation tools such as Gatling, Locust, or k6.
Strong programming skills in Java, Python, or Scala.
Deep experience with multi-layer runtime profiling, relational database diagnostics (e.g., MySQL, Postgres), distributed tracing technologies (e.g., OpenTelemetry, Jaeger), and cloud environments (AWS, Docker, Kubernetes).
Senior-level software architect with demonstrated strategic influence on performance engineering processes at scale.
Experienced in designing protocol-abstract, containerized load testing platforms and integrating performance analytics into automated CI/CD pipelines across decentralized teams.
Proficient in complex database performance diagnostics, multi-tenant workload modeling, and embedding performance gates aligned with service level agreements in high-scale cloud environments.