Lead Performance Engineer - JMeter, Python & Kafka

14 Minutes ago • 8-10.5 Years

Testing

Job Description

We are building a highly resilient, scalable, and world-class SaaS-based Transportation Management System (TMS) using modern technologies. This role requires a strong Performance Engineering team. As a Performance Lead Engineer, you will guide the team, ensure application performance, and proactively identify and resolve bottlenecks. Responsibilities include designing and executing performance test strategies, developing test scenarios, executing end-to-end performance testing, analyzing results, and collaborating with developers and DevOps to optimize code. You will also evaluate new tools, prepare detailed performance reports, build automation frameworks, and mentor junior engineers.

Good To Have:

Prior experience in enterprise Supply Chain applications like TMS, WMS, OMS or e-commerce platforms.

Must Have:

Lead design and execution of comprehensive performance test strategies.
Develop test scenarios and guide junior engineers in scripting.
Execute end-to-end performance testing and resolve bottlenecks.
Collaborate with developers and DevOps for performance optimization.
Evaluate and implement new tools via proof-of-concept initiatives.
Prepare and present detailed performance reports to stakeholders.
Build and maintain test automation frameworks and utilities.
Mentor and coach junior engineers.
8–10.5 years in Performance Testing and Engineering.
Deep knowledge of performance testing methodologies with JMeter expertise.
Skilled in analyzing thread dumps, GC logs, and heap dumps.
Experience with Azure, Kafka, Splunk, AppDynamics.
Strong proficiency in Python and shell scripting.
Experience with Windows, Linux, and Unix environments.
Understanding of REST APIs and Azure SQL Server databases.
Exposure to Generative AI and Agentic AI technologies.
Comfortable in Agile environments with Jira expertise.
Strong understanding of FinOps principles, capacity planning, cost optimization.

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Scope

We are building a highly resilient, scalable, and world-class SaaS-based Transportation Management System (TMS) using modern technologies.
To achieve this, we need a strong Performance Engineering team within our Product Development (PD) organization.
As a Performance Lead Engineer, you will play a pivotal role in guiding the team, ensuring application performance, and proactively identifying and resolving bottlenecks.

What You will Do

Lead the design and execution of comprehensive performance test strategies across applications.
Develop test scenarios and guide junior engineers in creating efficient performance scripts.
Execute end-to-end performance testing, analyze results, and resolve bottlenecks.
Collaborate closely with developers and DevOps to address regressions and optimize code for performance.
Evaluate and implement new tools, features, and technologies through proof-of-concept initiatives.
Prepare and present detailed performance reports, effectively communicating insights and recommendations to stakeholders.
Build and maintain test automation frameworks and utilities to improve efficiency.
Mentor and coach junior engineers, fostering a culture of continuous learning and excellence.

What We are Looking For

Experience: 8–10.5 years in Performance Testing and Engineering.
Expertise: Deep knowledge of performance testing methodologies with strong expertise in JMeter.
Diagnostics: Skilled in analyzing thread dumps, GC logs, and heap dumps to troubleshoot performance issues.
Cloud and other tools: Experience with major cloud platforms (Azure preferred), Kafka, Splunk and AppDynamics
Scripting: Strong proficiency in Python and shell scripting.
Operating Systems: Experience with Windows, Linux, and Unix environments.
Databases & APIs: Good understanding of REST APIs and experience with AzureSQL Server databases.
AI skills: Exposure to Generative AI and Agentic AI technologies.
Agile Methodologies & Tools: Comfortable working in Agile environments with strong expertise in Jira, a solid understanding of the performance engineering lifecycle, and active participation in Agile ceremonies.
Capacity Planning & FinOps: Strong understanding of FinOps principles with hands-on experience in capacity planning, cost optimization, and resource utilization exercises on Cloud
Domain: Prior experience in enterprise Supply Chain applications like TMS, WMS, OMS or e-commerce platforms is a strong plus