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 application stability in production. **Responsibilities:** — Develop, execute, and maintain automated tests (with focus on APIs and services/microservices). — Specify and implement scenarios using BDD with Gherkin. — Record, 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 quickly 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. **Preferred Qualifications:** — 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. — Knowledge of cloud platforms (AWS, Azure, or GCP). — Basic understanding of Terraform (to comprehend environments and infrastructure limitations).
João Silva
Indeed · HR
João Silva
Indeed · HR
