Lead Performance Engineer

Lead Performance Engineer E-commerce / Supply Chain

We are seeking a Lead Performance Engineer to drive performance testing and engineering initiatives across large-scale e-commerce and supply chain platforms. The role will focus on ensuring application speed, scalability, reliability, and stability across microservices, APIs, and distributed systems.

Key Responsibilities

• Lead performance engineering and testing activities including load, stress, scalability, endurance, and failover testing.
• Develop workload models based on user concurrency, transaction volumes, traffic patterns, and business requirements.
• Define performance benchmarks, SLAs, KPIs, and acceptance criteria.
• Plan, execute, analyze, and report performance tests aligned with application release cycles.
• Perform extensive JMeter-based performance testing and develop reusable performance test scripts and frameworks.
• Analyze microservices and REST APIs for response time, throughput, scalability, and resource utilization.
• Identify performance bottlenecks and perform root-cause analysis and optimization recommendations.
• Build and maintain performance dashboards using application, infrastructure, and observability metrics.
• Work closely with development, QA, DevOps, infrastructure, and product teams to identify performance risks early in the SDLC.
• Support production performance troubleshooting, capacity planning, scalability analysis, and release readiness.
• Collaborate with offshore/global teams and provide technical guidance on performance testing execution and best practices.
• Promote shift-left performance engineering and establish reusable testing standards and frameworks.

Required Skills

• 10+ years of Performance Engineering / Performance Testing experience.
• Strong hands-on experience with JMeter — heavy JMeter usage is required.
• Experience with microservices, REST APIs, distributed systems, and high-transaction applications.
• Strong knowledge of load, stress, scalability, endurance, and failover testing.
• Experience with AWS, Azure, or GCP.
• Strong experience with performance monitoring and observability.
• Strong analytical, troubleshooting, communication, and stakeholder-management skills.

AI & Modern Engineering

• Experience with or knowledge of AI-assisted engineering tools such as Codex and GitHub Copilot.
• Ability to leverage AI tools for test development, automation, performance analysis, troubleshooting, and engineering productivity.

Preferred Qualifications

• Experience in e-commerce, retail, or supply chain environments.
• Experience with high-volume/high-transaction platforms.
• Knowledge of SRE practices, reliability engineering, chaos/failover testing, and scalability design.
• Experience working with global/offshore teams.
• Experience with UI/web portal performance testing is a plus, although the primary focus is microservices and API performance.