Lead Performance Engineer

6 days ago

Bengaluru, Karnataka, India Blue Yonder Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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: 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.

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