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Senior, niche performance-engineering role with specific stack reduces applicant density despite metro Bengaluru location.
Requires deep JVM, Kafka, and distributed-systems expertise, limiting cross-industry transferability.
Explicit 8+ years plus mandatory JVM, Kafka, DB, and performance tooling requirements enforce strict shortlisting.
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Own the end-to-end performance engineering strategy for high-throughput, low-latency Java services, including setting performance requirements and validating them under load.
Write, review, and debug production Java code daily while leading technical performance improvements via profiling, tuning, and test automation.
Mentor developers and lead design/code reviews to raise performance standards, collaborate with SRE/DevOps on capacity and monitoring, and influence architectural decisions for scalability and cost efficiency.
8+ years of hands-on software development experience with Java (Java 11/17+).
Proven experience designing and operating cloud distributed systems on AWS.
Expertise in Kafka (event streaming and tuning), MongoDB, Elasticsearch, Debezium, and Spring Boot in performance-critical environments.
Experience in designing and executing performance testing using tools like JMeter, Gatling, or LoadRunner; strong profiling and JVM tuning skills.
A deeply technical leader who actively codes and drives performance improvements end-to-end including JVM internals and distributed system components.
Experienced in large-scale cloud native environments using microservices, event streaming, and databases with comprehensive profiling and tuning skillsets.
Proven mentor able to lead by example on design and code reviews focused on performance and reliability in continuous delivery pipelines.