Performance Test Engineer (Python Automation for large-scale, low-latency, distributed VoD/Avod streaming video systems) Remote Europe/UK
Location: Remote (Europe & UK only)
Full-Time | 6-Month Contract | Start Date: within 1-2 weeks
Were seeking a hands-on Performance Test Engineer / Performance Tester with Strong Python and automation expertise to design, build, and execute the performance testing strategy for a high-scale, ad-serving platform built on Akka-based Java microservices. Ideally Required to build automated load frameworks using Locust (Python). Its important to the end client that suitable candidates have solid experience in the streaming domain and with issues related to handling millions of concurrent users, and that they are strongly focused on performance testing (rather than focussed on other testing areas such as automation.
Youll work closely with developers and DevOps engineers to simulate realistic traffic at scale, ensure sub-50ms latency under millions of concurrent users, and drive system optimizations across cloud infrastructure and code. This is a technical, high-impact role ideal for someone passionate about distributed systems performance, automation, and data-driven tuning.
3-5+ years of performance engineering for large-scale, low-latency, distributed systems.
~ Strong Python and automation expertise able to design reusable, scalable test frameworks. Experience with distributed load testing and synthetic traffic modeling in the cloud.
~ Solid experience in the streaming video / advertising domain and with issues related to handling millions of concurrent users,
~ Strongly focused on performance testing in addition to other areas of testing such as automation.
~ Someone passionate about distributed systems performance, automation, and data-driven tuning.
~ Based in EU or UK with English (C1 or higher) and right to work in the region.
Java, Bash scripting, Terraform.
Define and execute comprehensive performance test plans (load, stress, spike, soak, scalability, failover). Build automated load frameworks using Locust (Python) or JMeter, with data parameterization and correlation. Integrate performance metrics from CloudWatch, Prometheus, Grafana, and OpenTelemetry to analyze system bottlenecks. Develop SLA/SLO dashboards and integrate performance gates into CI/CD pipelines. Collaborate with DevOps and developers to tune JVM, Akka, thread pools, GC, caching, autoscaling, and database performance. Tech Stack: Load Tools: Locust (Python), JMeter; Languages: Python, Bash, Java (Maven/Gradle, JVM tuning basics). Architecture: Akka-based asynchronous Java microservices.
If youre passionate about performance engineering and love optimizing systems that operate at global scale, wed love to hear from you. Apply now and be part of an agile, innovative European tech team.
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