Role
Engineering management to scale effectively using informed trade-offs around cost, latency, and other performance constraints.
Experience in tools and apps usage that can be used to profile systems and reads the depth of core technology.
Collaboration with internal and external stakeholders on Product design, architecture, development
Identify and debug bottlenecks to improve end-user experience and evaluate productive technological changes
Help determine scaling and utilization parameters for various service tiers optimizing memory/CPU/system stability characteristics.
Build observability and nudging to proactively inform people about regression trends in latency, develop performance and capacity-related assessments and experiments for benchmarking

Responsibilities
Prior experience in building Apps & Tools. Performance Testing and Engineering strategies, principles, methodologies, tools (Gatling, JMeter, Tsung), etc.
Written high-quality code in a programming language (Java/C++/Python/Javascript / DotNet/Golang).




Strong capabilities in Oracle/MS-SQL/MySQL/Postgres databases. Dev/Design & Tuning/Monitoring (AWR, ASH, ADDM, TkProf, etc.).
Solid knowledge of tuning and Database Administration over NOSQL - Cassandra, MongoDB, and Apache Ignite.
Knowledge of Caching solutions/strategies (Redis/ Memcache / Infinispan/ Hazelcast, etc.)
*nix OS (Shell programming/scripting, Tuning/Monitoring) using tools like tcp dumps, Wireshark, netstat, vmstat, iostat, top, sar, etc.
JVM Tuning, Monitoring, Thread & Heap dump analysis. Proficiency in using tools like JVisualVM, JConsole, JFR, MAT, etc.
Performance optimization of application containers like Nginx/Tomcat/Apache HTTP Server/IIS
Experience in Performance Engineering in Cloud environments like Google Cloud (GCP), Azure Cloud
Experience in Performance Engineering in a container-based workplace like Kubernetes, and Apache Mesos.
Knowledge of Terraform, Ansible, Chef, and Puppet.
Ex

📌 Performance Engineer – Telecom Delhi
🏢 DigitalXNode
📍 Delhi