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 : 810.

- 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.