Senior Performance Test Engineer / Performance Engineering Lead

About Qeagle:

Qeagle is a global, independent software testing and quality assurance (QA) company. We provide a comprehensive range of QA and testing services, specializing in offering solutions for complex technological landscapes.

Job title: Senior Performance Test Engineer / Performance Engineering Lead

We are looking for a Senior Performance Test Engineer / Performance Engineering Lead with strong hands-on experience in k6 and Apache JMeter. The person should be capable of owning performance testing end-to-end, not just developing or executing scripts.

Immediate Joiners only

Role Responsibilities:

• Understand the application architecture, business transactions, expected volumes, peak traffic and production usage patterns.
• Define the overall Non-Functional Testing / Performance Testing strategy covering:
• Load Testing
• Stress Testing
• Spike Testing
• Endurance / Soak Testing
• Scalability Testing
• Capacity Testing
• Resilience / Recovery Testing
• Build realistic workload models based on:
• Concurrent users
• Transactions per second
• API throughput
• Kafka message throughput
• Peak business volumes
• Define performance SLAs / SLOs including:
• Response time
• Throughput
• P95 / P99 latency
• Error percentage
• CPU / Memory utilization
• Kafka consumer lag
• End-to-end processing latency

Tool Experience:

• Strong hands-on experience with k6.
• Strong hands-on experience with Apache JMeter.
• Ability to decide when to use k6, JMeter or a combination of both.
• Experience building reusable and maintainable performance testing frameworks.
• Experience integrating performance tests into CI/CD pipelines.

Kafka Performance Testing:

The candidate should understand performance testing of Kafka-based event-driven applications including:

• Producer throughput
• Consumer throughput
• Messages per second
• End-to-end message latency
• Consumer lag
• Partition scalability
• Broker performance
• Retry / failure behaviour
• High-volume and peak-load scenarios

Experience with xk6-kafka, JMeter Kafka plugins or Kafka native performance tools would be preferred.

Web and Mobile:

• Performance testing of Web applications and REST APIs.
• Performance testing of APIs consumed by Android and iOS applications.
• Understanding of browser-side performance versus backend/API performance.
• Experience with browser performance testing would be an added advantage.

Dynatrace / Performance Analysis:

Strong experience with Dynatrace is highly preferred. The person should be able to correlate performance-test results with:

• Application response time
• Microservice latency
• Distributed traces
• Database performance
• JVM / .NET metrics
• Kafka performance
• CPU and Memory
• Infrastructure utilization

The expectation is to identify the actual performance bottleneck and provide engineering recommendations, rather than simply reporting JMeter or k6 response times.