Middle QA Automation Engineer (Python)

Miratech

1d•Remote

About The Position

We are looking for a Middle QA Automation Engineer to join a team building an AI-powered conversational platform. The solution combines Python-based backend microservices running on AWS, a modern web application, and real-time voice technologies to deliver intelligent customer interactions.

Requirements

3+ years of experience in Quality Assurance, testing web applications and API-driven systems.
Strong hands-on experience with REST API testing, including authentication, authorization, RBAC, and request/response validation.
Practical experience using API testing tools such as Postman or similar solutions.
Hands-on experience in UI test automation using Playwright with TypeScript or equivalent automation frameworks.
Solid automation scripting skills using Python and pytest.
Experience designing, developing, and maintaining automated test suites.
Experience with AWS services (ECS, CloudWatch, Secrets Manager, S3)
Strong understanding of software testing methodologies, test planning, and defect management processes.
Ability to create clear test documentation, write detailed defect reports, and participate in defect triage activities.
Strong written and verbal English communication skills.
Basic knowledge of Docker and Docker Compose.
Understanding of CI/CD pipelines and troubleshooting (Bitbucket Pipelines or similar)

Nice To Haves

Experience testing AI/LLM, voice agents, or conversational automation systems
Background in SIP, WebRTC, LiveKit, or contact center / IVR testing
Knowledge of latency and performance validation (e.g., TTFT, call setup time, response timing)
Exposure to contract testing, WireMock, or other mock services
SQL skills for test data validation
Understanding of Terraform or general cloud infrastructure concepts

Responsibilities

Design, develop, and maintain automated test solutions for REST APIs, including authentication, authorization (RBAC), and request/response validation.
Build and enhance UI automation frameworks using modern testing tools and best practices.
Develop and maintain test automation scripts using Python and pytest.
Create and maintain test documentation, test cases, and defect reports.
Participate in defect triage, root cause analysis, and quality improvement initiatives.
Integrate automated tests into CI/CD pipelines to ensure continuous quality validation.
Collaborate closely with Software Engineers, Product Owners, and DevOps teams throughout the development lifecycle.
Contribute to quality assurance activities for conversational and voice-based AI solutions, including validation of user interactions, system responses, and performance characteristics.
Support performance and latency validation activities for real-time communication workflows.