Performance Engineer Telecom

DigitalXNode; Hyderabad; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

DigitalXNode seeks an engineering leader to scale performance across systems, balancing cost, latency, and capacity. You will profile core tech, collaborate with product and architecture teams, and debug bottlenecks to improve end-user experience.

The role covers cloud and containerized environments, with emphasis on observability and scalable design. The candidate will guide performance engineering across databases, messaging, and infrastructure, leveraging tools like Gatling/JMeter and

Qualifications

• Experience in performance testing and engineering strategies using tools like Gatling, JMeter, Tsung.
• Proficient in writing high-quality code in Java, C++, Python, JavaScript, .NET, or Go.
• Strong knowledge of relational DBs (Oracle, MS SQL, MySQL, PostgreSQL) and tuning/monitoring tools (AWR, ASH, ADDM, TkProf).
• Knowledge of NoSQL databases (Cassandra, MongoDB, Apache Ignite).
• Experience with caching solutions (Redis, Memcache, Infinispan, Hazelcast).
• Unix/Linux with scripting and monitoring tools (tcpdump, Wireshark, netstat, vmstat, iostat, top, sar).
• JVM tuning and profiling (JVisualVM, JConsole, JFR, MAT).
• Performance optimization of containers and servers (Nginx, Tomcat, Apache HTTP Server, IIS).
• Cloud performance engineering in GCP and Azure.
• Container orchestration (Kubernetes, Apache Mesos).
• Infrastructure as code using Terraform, Ansible, Chef, Puppet.
• Performance optimization over Data Lakes/Big Data platforms (Hadoop/Hive/Spark).
• Developed data analysis tools or visualization of network performance.

Responsibilities

• Experience building Apps & Tools; Performance Testing and Engineering strategies.
• Written high-quality code in Java/C++/Python/JS/.NET/Golang.
• Strong capabilities in Oracle/MS-SQL/MySQL/Postgres databases; tuning/monitoring (AWR, ASH, ADDM, TkProf).
• Strong knowledge of tuning and Database Administration over NOSQL - Cassandra, MongoDB, Apache Ignite.
• Knowledge of Caching solutions (Redis/Memcache/Infinispan/Hazelcast).
• Unix OS scripting/monitoring using tcpdump, Wireshark, netstat, vmstat, iostat, top, sar.
• JVM tuning and profiling with JVisualVM, JConsole, JFR, MAT.
• 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 container-based environments like Kubernetes, 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.

Skills

Performance engineering

System profiling

Engineering management

Software development

Cross-functional collaboration

Tools

Gatling

JMeter

Tsung

Oracle

MS SQL

MySQL

PostgreSQL

AWR

ASH

ADDM

TkProf

Cassandra

MongoDB

Apache Ignite

Redis

Memcached

Infinispan

Hazelcast

tcpdump

Wireshark

netstat

vmstat

iostat

top

sar

JVisualVM

JConsole

JFR

MAT

Nginx

Tomcat

Apache HTTP Server

IIS

GCP

Azure

Kubernetes

Apache Mesos

Terraform

Ansible

Chef

Puppet

Hadoop

Hive

Spark

Job description

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.