Senior QA Automation Engineer (Python/Java) (IRC307347)
Builds and owns a Python (pytest) test automation framework for an AWS-based cloud platform managing connected eye-care medical devices: API/integration/E2E tests, log-pipeline validation, CI/CD in Azure DevOps, and QA of a new AI analytics layer.
- Compensation
- Not disclosed
- Location
- UA
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Contract
- Experience
- 3+ years
- Category
- Qa
- Posted
Skills
Must have
- 5+ years of experience in QA automation, including at least 3 years writing automated tests in Python
- Strong hands-on experience with pytest (fixtures, parametrization, plugins, markers) and building automation frameworks from scratch
- Solid experience in REST API testing (requests/httpx, schema and contract validation)
- Experience testing distributed, event-driven backend systems (message queues, async processing, eventual consistency)
- Practical knowledge of AWS services (S3, SQS/SNS, EventBridge, Lambda, DynamoDB, RDS/Aurora) and testing against them with boto3 and LocalStack or moto
- Good SQL skills for data validation (PostgreSQL/Aurora)
- Experience integrating test suites into CI/CD pipelines, preferably Azure DevOps, including reporting (Allure or similar) and quality gates
- Working knowledge of Docker and Git
- Understanding of test design techniques, test pyramid principles and risk-based testing
- Upper-Intermediate English or higher, spoken and written
Nice to have
- Experience in regulated domains such as medical devices, healthcare or pharma (IEC 62304, FDA, GxP, ISO 13485), including requirements traceability and validation documentation
- Experience testing IoT or connected-device platforms (device provisioning, certificates, TLS/mTLS, OTA updates)
- Experience testing data and log-processing pipelines (file parsing, CSV/data validation, large datasets)
- Exposure to testing LLM-based or agentic AI applications (LangChain/LangGraph, AWS Bedrock, evaluation of model outputs)
- Performance or load testing (Locust, k6)
- Basic Java reading skills, since the core backend services are written in Java
- AWS or ISTQB certification
Full description
Job Description
5+ years of experience in QA automation, including at least 3 years writing automated tests in Python
Strong hands-on experience with pytest (fixtures, parametrization, plugins, markers) and building automation frameworks from scratch
Solid experience in REST API testing (requests/httpx, schema and contract validation)
Experience testing distributed, event-driven backend systems (message queues, async processing, eventual consistency)
Practical knowledge of AWS services such as S3, SQS/SNS, EventBridge, Lambda, DynamoDB and RDS/Aurora, and of testing against them with boto3 and LocalStack or moto
Good SQL skills for data validation (PostgreSQL/Aurora)
Experience integrating test suites into CI/CD pipelines, preferably Azure DevOps, including reporting (Allure or similar) and quality gates
Working knowledge of Docker and Git
Understanding of test design techniques, test pyramid principles and risk-based testing
Upper-Intermediate English or higher, spoken and written
Nice to have:
Experience in regulated domains such as medical devices, healthcare or pharma (IEC 62304, FDA, GxP, ISO 13485), including requirements traceability and validation documentation
Experience testing IoT or connected-device platforms (device provisioning, certificates, TLS/mTLS, OTA updates)
Experience testing data and log-processing pipelines (file parsing, CSV/data validation, large datasets)
Exposure to testing LLM-based or agentic AI applications (LangChain/LangGraph, AWS Bedrock, evaluation of model outputs)
Performance or load testing (Locust, k6)
Basic Java reading skills, since the core backend services are written in Java
AWS or ISTQB certification
Job Responsibilities
Design, build and maintain a Python-based test automation framework for a cloud platform that manages connected medical devices
Develop automated API, integration and end-to-end tests covering device management, log processing, content delivery, remote access and security flows
Automate validation of log-parsing pipelines and the data they produce
Build and run tests against AWS services, using LocalStack for local and pipeline environments
Integrate automated suites into Azure DevOps CI/CD pipelines and maintain stable, fast regression and smoke runs
Take ownership of regression and smoke suite execution during and after the platform handover from the previous vendor
Contribute to quality of the new AI analytics layer, including test strategies for natural-language queries and validation of generated results