{"id":3453942,"url":"https://alion.io/job/globallogic-senior-qa-automation-engineer-pythonjava-irc307347","title":"Senior QA Automation Engineer (Python/Java) (IRC307347)","company":{"id":46391,"name":"GlobalLogic","domain":"globallogic.com","url":"https://alion.io/company/globallogic","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career 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EventBridge, Lambda, DynamoDB and RDS/Aurora, and of testing against them with boto3 and LocalStack or moto\n\nGood SQL skills for data validation (PostgreSQL/Aurora)\n\nExperience integrating test suites into CI/CD pipelines, preferably Azure DevOps, including reporting (Allure or similar) and quality gates\n\nWorking knowledge of Docker and Git\n\nUnderstanding of test design techniques, test pyramid principles and risk-based testing\n\nUpper-Intermediate English or higher, spoken and written\n\nNice to have:\n\nExperience in regulated domains such as medical devices, healthcare or pharma (IEC 62304, FDA, GxP, ISO 13485), including requirements traceability and validation documentation\n\nExperience testing IoT or connected-device platforms (device provisioning, certificates, TLS/mTLS, OTA updates)\n\nExperience testing data and log-processing pipelines (file parsing, CSV/data validation, large datasets)\n\nExposure to testing LLM-based or agentic AI applications (LangChain/LangGraph, AWS Bedrock, evaluation of model outputs)\n\nPerformance or load testing (Locust, k6)\n\nBasic Java reading skills, since the core backend services are written in Java\n\nAWS or ISTQB certification\n\nJob Responsibilities\n\nDesign, build and maintain a Python-based test automation framework for a cloud platform that manages connected medical devices\n\nDevelop automated API, integration and end-to-end tests covering device management, log processing, content delivery, remote access and security flows\n\nAutomate validation of log-parsing pipelines and the data they produce\n\nBuild and run tests against AWS services, using LocalStack for local and pipeline environments\n\nIntegrate automated suites into Azure DevOps CI/CD pipelines and maintain stable, fast regression and smoke runs\n\nTake ownership of regression and smoke suite execution during and after the platform handover from the previous vendor\n\nContribute to quality of the new AI analytics layer, including test strategies for natural-language queries and validation of generated results\n\nReport, triage and track defects, and take part in root-cause analysis together with developers\n\nMaintain test documentation and traceability between requirements and tests, in line with regulated SDLC and compliance needs\n\nWork closely with the developers, DevOps and the Business Analyst in an Agile team\n\nDepartment/Project Description\n\nOur client is a global leader in eye-care medical devices. We are taking full engineering ownership of their Service Cloud: an AWS-based platform that connects thousands of surgical and diagnostic devices worldwide. The platform handles the full device lifecycle, from secure provisioning and certificate-based onboarding to log collection and parsing, software updates, remote support and audit logging.\n\nThe project combines three workstreams in one team: Service Cloud engineering and L3/L4 support, log parser development, and cloud and AI modernization. The modernization starts with a conversational analytics layer, where users ask questions in plain language and an AI agent builds queries and dashboards over device and log data.\n\nYou’ll join a cross-functional team of architects, Java, C++, AI/ML and DevOps engineers. 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