Quality Engineer - 26821

Description

Work as a Quality Engineer, leading test automation initiatives in distributed environments and microservice-based architectures. You will be responsible for ensuring end-to-end quality of APIs and services, integrating tests into CI/CD pipelines, and supporting the continuous evolution of QA practices. You will also validate critical workflows, observability, and production application stability. **Responsibilities:** * Develop, execute, and maintain automated tests (with focus on APIs and services/microservices). * Specify and implement test scenarios using BDD with Gherkin. * Log, organize, and track scenarios, evidence, and results in Xray (Gherkin). * Ensure coverage and effectiveness using black-box and white-box testing techniques. * Integrate automation into CI/CD pipelines (e.g., Jenkins), ensuring recurring and reliable execution. * Perform smoke testing and rapidly identify critical failures. * Validate synchronous and asynchronous workflows, including messaging scenarios (AWS SQS) where applicable. * Collaborate with development, product, and operations teams to ensure end-to-end quality. * Use Docker for provisioning test environments and executing automated pipelines. * Support failure investigation using observability (traces/metrics/logs), when necessary. **Requirements:** * Solid experience with Playwright (automation). * Experience with Gherkin (BDD) and using Xray with Gherkin. * Deep understanding of APIs (payload validation, authentication, contracts, timeouts, retries, etc.). * Experience with CI/CD and integrating tests into pipelines (e.g., Jenkins). * Knowledge of Docker and containerized environments. * Familiarity with testing in distributed environments / microservices. * Proficiency in black-box and white-box testing techniques. * Hands-on experience with smoke testing. * Programming (primarily JavaScript) — mandatory and disqualifying if not met. **Nice-to-have:** * Experience validating asynchronous workflows and messaging topics (SQS/DLQ/reprocessing). * Basic familiarity with Kubernetes/EKS for troubleshooting executions (logs/health checks). * Experience with observability (Dynatrace / OpenTelemetry / Grafana Loki) for diagnostics and reducing flaky tests. * Experience with performance and security testing. * Cloud knowledge (AWS, Azure, or GCP). * Familiarity with Terraform (to understand environments and infrastructure limitations).