Test Engineer at Atos with expertise in WMS functional flows and test automation frameworks. Managing QA teams and handling integration with various systems in a collaborative environment.
Responsibilities
Strong understanding of WMS functional flows, inventory movements, and real-time integration with ERP/TMS/YMS systems.
Proven experience in test automation frameworks: Cypress, Playwright, Selenium, or similar.
Expertise in using code review tools like Code Rabbit, Claude Code, Gemini etc.
Experience with API testing (Postman, RestAssured), message queue validation (Kafka, GCP Pub/Sub), and data validation using SQL/BigQuery.
Proficiency in performance testing tools (JMeter, Gatling, K6, LoadRunner) with an ability to simulate warehouse workloads and measure end-to-end latency.
Experience with CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions) and containerized test environments (Docker, Kubernetes).
Knowledge of observability and tracing tools (OpenTelemetry, Grafana, Dynatrace alternatives) for QA monitoring.
Experience testing mobile and RF applications on Honeywell, Zebra, or Android-based devices.
Experience in using AI tools for quality engineering work including test case generation, test data generation, automation, code-refactoring.
Demonstrated success in leading QA teams using Agile/Scrum or Scaled Agile (SAFe).
Strong analytical and problem-solving skills with emphasis on root-cause analysis and continuous improvement.
Excellent communication and stakeholder management skills, especially across multi-functional technical teams.
Requirements
Strong understanding of WMS functional flows, inventory movements, and real-time integration with ERP/TMS/YMS systems.
Proven experience in test automation frameworks: Cypress, Playwright, Selenium, or similar.
Expertise in using code review tools like Code Rabbit, Claude Code, Gemini etc.
Experience with API testing (Postman, RestAssured), message queue validation (Kafka, GCP Pub/Sub), and data validation using SQL/BigQuery.
Proficiency in performance testing tools (JMeter, Gatling, K6, LoadRunner) with an ability to simulate warehouse workloads and measure end-to-end latency.
Experience with CI/CD pipelines (GitLab CI, Jenkins, GitHub Actions) and containerized test environments (Docker, Kubernetes).
Knowledge of observability and tracing tools (OpenTelemetry, Grafana, Dynatrace alternatives) for QA monitoring.
Experience testing mobile and RF applications on Honeywell, Zebra, or Android-based devices.
Experience in using AI tools for quality engineering work including test case generation, test data generation, automation, code-refactoring.
Demonstrated success in leading QA teams using Agile/Scrum or Scaled Agile (SAFe).
Strong analytical and problem-solving skills with emphasis on root-cause analysis and continuous improvement.
Excellent communication and stakeholder management skills, especially across multi-functional technical teams.
Bachelor’s or Master’s in Computer Science, Engineering, or equivalent.
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