Performance Engineer – Telecom
DigitalXNode
full-time
Required skills
- Python
- Ansible
- Apache
- Azure
- C++
- caching
- Cassandra
- database administration
- GCP
- Golang
- Google Cloud
- Hadoop
- heap dump analysis
- Hive
- HTTP
- Java
- JavaScript
- JVM
- Kubernetes
- Memcache
- MySQL
- NoSQL
- Oracle
- Postgres
- product design
- regression
- Redis
- Spark
- TCP
- Terraform
About the role
DigitalXNode
Website:
digitalxnode.com
Job details:
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.
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