Career

Job Description

We are looking for a skilled Benchmarking Engineer with 5–8 years of experience in performance testing of large-scale distributed applications. The ideal candidate will have strong hands-on experience with tools like LoadRunner, JMeter, and Playwright, and expertise in scripting, performance diagnostics, monitoring tools, and troubleshooting across multiple platforms. Experience with cloud platforms, containerization, and storage systems is highly desirable.

Key Responsibilities

• Conduct performance benchmarking and testing of enterprise-scale distributed systems.

• Use tools such as LoadRunner (Web HTTP, TruClient), JMeter, Ranorex, or Playwright.

• Script performance scenarios using SQL, Python, VuGen, Korn shell (KSH), Bash, or PowerShell.

• Monitor and diagnose system performance using tools like AppDynamics, Dynatrace, Datadog, Grafana, Kibana, FIO, PerfMon, SysInternals, IOSTAT, NMON, VMSTAT, NETSTAT, TOP, and IOMeter.

• Manage and troubleshoot environments across Linux and Windows Server.

• Troubleshoot performance issues across hardware, OS, network, and application layers.

• Work with cloud environments like AWS, Azure, GCP, and Kubernetes.

• Understand and manage storage systems (SAN, NAS, NFS) and storage protocols like FCoE, Fibre Channel, CIFS, and JBOD.

Preferred Skills:

• Strong understanding of distributed architecture and systems.

• Hands-on experience with modern observability and monitoring tools.

• Effective communication and cross-functional collaboration skills.

• Cloud-native experience with Kubernetes and container performance.

Why Join Us?

• Opportunity to work on high-impact systems in cloud-native environments.

• Exposure to cutting-edge tools in monitoring and diagnostics.

• Collaborative, high-performance culture with career growth.

• Be at the forefront of performance engineering in real-world scenarios.