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Tier-1 employer, metro location, mid-level generalist role with broad skillset.
Requires deep JVM internals and distributed systems performance expertise, limiting cross-industry transferability.
Explicit 4+ years and strong mandatory JVM, profiling, and performance automation skills required.
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Analyze large-scale distributed systems to identify and optimize application performance bottlenecks across multi-tier and multi-data center environments.
Develop, debug, and automate performance testing tools and processes to detect regressions and enhance scalability, latency, and user experience across mobile and UI platforms.
Lead performance initiatives by evangelizing best practices and delivering real-time business intelligence enabling faster data-driven decisions.
Related technical degree required.
4+ years of experience in performance engineering focused on analyzing, solving, and automating performance workloads on large-scale systems.
Proficient coding skills in Java (including JVM tuning and profiling), C, Python, Ruby on Rails, and experience in building automation tools and developer platforms.
Familiarity with key performance metrics (throughput, latency, memory, CPU, disk, network) and debugging bottlenecks; experience with frontend testing tools like Selenium or LoadRunner is required.
Experienced in deep performance analysis across diverse technology stacks including mobile, browsers, systems, and storage in large-scale distributed environments.
Skilled at developing scalable automation frameworks for continuous performance testing and monitoring within complex software engineering teams.
Capable of communicating technical and business performance concepts clearly, influencing engineering teams and stakeholders to drive performance improvements.