Software Test Engineer

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

We are seeking a talented and passionate Performance Engineer to join the NIQ Performance Engineering team.

The ideal candidate should have a solid foundation in performance testing, automation, and cloud-native technologies, along with strong programming skills.

This role offers the opportunity to work on next-generation performance engineering practices leveraging AI, observability, and automation to improve software quality and system scalability.

Ideal Candidate Profile

✅ Strong foundation in performance testing and automation

✅ Good development skills

✅ Understanding of cloud-native applications and Kubernetes

✅ Passion for leveraging AI and modern engineering practices

✅ Strong analytical and problem-solving mindset

Responsibilities

Design, develop, and execute performance tests for web, API, and microservices-based applications.; Create and maintain performance test scripts using JMeter, LoadRunner , or similar tools.; Support workload modeling, performance benchmarking, and capacity testing activities.; Analyze test results and identify application, database, or infrastructure bottlenecks.; Develop automation utilities and reusable components using Python etc.; Utilize observability and monitoring platforms to investigate performance issues.; Collaborate with development teams to troubleshoot and optimize system performance.; Support AI-assisted initiatives such as test generation, analysis automation, and reporting enhancements.; Contribute to continuous improvement of performance engineering frameworks and best practices.

Requirements

Solid experience in Performance Testing or Performance Engineering.; Hands-on experience with JMeter, LoadRunner, VTS , or equivalent tools.; Strong programming skills.; Understanding of APIs, microservices, REST services, and distributed systems.; Familiarity with Kubernetes , Linux, and cloud environments.; Exposure to observability/APM solutions such as Datadog, Dynatrace, Coralogix, New Relic, or AppDynamics .; Basic understanding of Generative AI tools such as GitHub Copilot or Azure OpenAI .; Strong analytical and troubleshooting skills.

Nice to have

Should have 3-5 years of strong experience with CI/CD pipelines and GitHub Actions .; Exposure to log analytics platforms such as Splunk or Coralogix .; Knowledge of performance testing within cloud-native architectures.; Familiarity with AI-assisted engineering workflows.

Benefits

Flexible working environment; Volunteer time off; LinkedIn Learning; Employee-Assistance-Program (EAP)