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Performance Engineer
1 week ago
Kindly refer the JD below and apply-Job Duties
-o
Enable engineering to scale effectively by making informed trade offs around cost, latency and other performance constraints.o
Develop tools and apps that can be used to profile systems and reads the depth of core technology.o
Conduct deep-dives on product design and architecture, in collaboration with various Engineering teams, driving cost optimization initiatives and having a direct impact on product development.
Identify and debug bottlenecks to improve end-user experience and evaluate efficient technological changes to reduce resource consumption and request latency.
Help determine scaling and utilization parameters for various service tiers optimizing memory/CPU/system stability characteristics through focused tuning and design applicable performance ratchets.
Build observability and nudging to proactively inform people about regression trends in latency, develop performance and capacity-related assessments and experiments for bench-marking.
Prior experience of building Apps & Tools. Performance Testing and Engineering strategies, principles, methodologies, tools (Gatling, JMeter,Tsung), etc.o
Written high quality code in a programming language (Java/C++/Python/Javascript/DotNet/Golang).o
Strong capabilities on Oracle/MS-SQL/MySQL/Postgres databases. Dev/Design & Tuning/Monitoring (AWR, ASH, ADDM, TkProf, etc.).o
Strong knowledge on tuning and Database Administration over NOSQL - Cassandra, MongoDB, Apache Ignite.o
Knowledge on Caching solutions/strategies (Redis/Memcache/Infinispan/Hazelcast, etc.)o
*nix OS (Shell programming/scripting, Tuning/Monitoring) using tools like tcp dumps, Wireshark, netstat, vmstat, iostat, top, sar, etc.o
JVM Tuning, Monitoring, Thread & Heap dump analysis. Proficiency in using tools like JVisualVM, JConsole, JFR, MAT, etc.o
Performance optimization of application containers like Nginx/Tomcat/Apache HTTP Server/IIS.o
Experience on Performance Engineering on Cloud environments like Google Cloud (GCP), Azure Cloud.o
Experience on Performance Engineering over container based environment like Kubernetes, Apache Mesos.o
Knowledge on Terraform, Ansible, Chef, Puppet.o
Experience of running Performance Engineering optimization over DataLake or Data Platforms (Big Data/Hadoop/Hive/Spark)o
Developed data analysis tools or visualization of real world application and network performance.o
A rich experience with scalable distributed systems, systems architecture, Performance analysis and tuning of web-based applications at scale.o
Proven past infrastructure tuning experience at any of JVM/Linux/Javascript compiler levelso
Experience debugging complex problems across the whole stack.
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