Performance Tester

Project Description 

Creating of user-friendly interface (HMI) tailored for a kitchen appliance, ensuring seamless interaction between users and the device's functionalities. The Technologies used: Qt, a cross-platform application framework, serves as the backbone for constructing the graphical elements of the interface, offering a wide array of tools and libraries for efficient UI design; QML - a declarative language integrated within the Qt framework, facilitates the creation of visually appealing and dynamic user interfaces with its intuitive syntax and powerful features; Squish - a testing tool ensuring the reliability and performance of the HMI by automating the testing process.

Responsibilities

• Define the performance strategy for mobile and backend, in accordance with the QA Lead and the dev teams. 

• Model realistic workloads: spike, stress, soak, scalability, and capacity tests reflecting mobile traffic patterns (cold starts, caching behavior, offline/online sync). 

• Apply baseline tests to enable our dev teams to continuously check for performance flaws during the development lifecycle. 

• Author and maintain k6 suites, including scenarios/executors, thresholds & checks, parameterization, test data management, secrets handling, results artifacts. 

• Run k6 tests locally and at scale (k6 Cloud). 

• Analyze test results via Grafana and discuss mitigation strategies for bottlenecks with the dev teams. 

• Define performance smoke and regression gates, baseline drift detection, automated reports & dashboards. You'll collaborate with our dev teams, architects and the QA Lead. 

  
  

Tech Stack

• k6 (OSS/Cloud), k6-operator, xk6 extensions, k6 outputs (JSON/Prometheus). 

• APM: Grafana, OpenTelemetry 

• Backend/Infrastructure: Kubernetes, Redis, DynamoDB, AWS/Azure/GCP.

  
  

Necessary requirements 

• 3-5 years experience in performance engineering for distributed systems, APIs and/or mobile-backed services. 

• Deep k6 expertise across the full lifecycle: Test definition and design, scripted scenarios, data/secrets management, test runs, analysis, and reporting. 

• Sound experience of workload modeling, concurrency, race conditions, back-pressure, and tail latencies (p95/p98). 

• Hands-on with APM & tracing and capacity planning. 

• Comfortable with analyzing databases, caches, queues, and communication through different API layers. 

• Ability to read code and consult dev teams with concrete improvements. 

  
  

Nice to have 

• XRay knowledge 

• Practical knowledge in Chaos Engineering