Back
Tier-1 brand and metro location increase competition, but seniority and specialization limit applicant density.
Role demands deep performance engineering and JVM expertise, limiting cross-industry transferability.
Mandatory 15+ years and deep JVM, profiling, and distributed systems expertise make filtering highly stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Analyze and optimize application performance bottlenecks across large-scale distributed environments and multi-tier systems.
Develop and debug code using multiple languages to identify and resolve performance issues, focusing on scalability and latency improvements.
Design and implement automation tools/processes for performance testing and regression detection across production builds and environments.
Bachelor's degree or related technical degree required.
15+ years experience in performance engineering roles with large-scale systems workload analysis and automation.
Proficient coding experience in Java, C, Python, Ruby on Rails; deep knowledge of Java internals including JVM tuning and Java profiling tools.
Experience with automation tools, frontend testing tools (e.g., Selenium, LoadRunner), and performance metrics analysis across throughput, latency, memory, CPU, disk, and network.
Experienced developer with a strong background in building platforms, applications, and automation tools for performance enhancement.
Depth in analyzing multi-tier, multi-data center systems and working with diverse technology stacks including mobile, browser, and storage.
Familiarity with NoSQL databases and streaming/transport systems like Spark, Storm, Cassandra, Kafka is a plus but not mandatory.