Performance Engineer – Telecom

Actively Reviewing the Applications

DigitalXNode

Navi Mumbai Full-Time 4–8 years

Posted 4 days ago • Apply by June 11, 2026

Job Description

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 efficient 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.).
Strong 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 environment like Kubernetes, and Apache Mesos.
Knowledge of Terraform, Ansible, Chef, and Puppet.
Experience in running Performance Engineering optimization over DataLake or Data Platforms (Big Data/Hadoop/Hive/Spark)
Developed data analysis tools or visualization of real-world applications and network performance.