Load and Performance Engineer

Odmeňovanie

From 300 EUR/month

About We are looking for a Senior Performance Engineer to join our team on a 6-month freelance assignment (with the option to extend), taking ownership of performance quality across our platform. You will design and execute performance test strategies, integrate testing into CI/CD pipelines, and work closely with DevOps and platform teams to ensure our systems scale reliably under real-world conditions. This is a hands-on role for a self-driven engineer who is comfortable in cloud-native, distributed environments and takes pride in identifying and resolving performance bottlenecks before they become incidents.

Tech stack Performance testing: JMeter, Gatling, k6, LoadRunner Cloud platforms: AWS, Azure, GCP Containerization & orchestration: Docker, Kubernetes CI/CD: Jenkins, GitHub Actions, GitLab CI Messaging & async systems: Kafka, RabbitMQ Monitoring & observability: Dynatrace, Grafana, Prometheus, AppDynamics Infrastructure as Code: Terraform, CloudFormation Architecture: REST APIs, microservices, distributed systems

Responsibilities

• design and execute performance test strategies (load, stress, spike, endurance) and define benchmarks, SLOs/SLAs, and workload models
• analyze performance metrics to identify bottlenecks, conduct root cause analysis, and drive continuous optimization
• integrate performance testing into CI/CD pipelines and manage test environments using IaC tools (Terraform, CloudFormation)
• test APIs and async systems (Kafka, RabbitMQ) and monitor system behavior using observability tools (Dynatrace, Grafana, Prometheus)
• collaborate with DevOps and platform teams on environment setup, automation, and performance improvements across the full development lifecycle

What do we expect?

• 5+ years of hands-on experience in load and performance testing of complex, distributed systems
• strong expertise in performance testing tools such as JMeter, Gatling, k6, or LoadRunner
• deep understanding of performance metrics (response time, throughput, latency, error rates) and ability to act on them
• solid experience with cloud environments (AWS, Azure, or GCP) and cloud-native architectures
• hands-on experience with containerization (Docker) and orchestration (Kubernetes)
• practical knowledge of CI/CD integration and IaC tools (Terraform, CloudFormation)
• experience testing REST APIs and async messaging systems (Kafka, RabbitMQ)
• familiarity with monitoring and observability tools (Dynatrace, Grafana, Prometheus, AppDynamics)