System & Product QA Engineer (Platform & UX)
About MOV.AI
MOV.AI is a robotics software company developing an autonomy platform for the next generation of Autonomous Mobile Robots (AMRs), operating in large-scale industrial and logistics environments. The platform enables fleets of robots to navigate, localize, and operate reliably in complex real-world environments, ranging from international airports to large warehouse operations.
Role Summary
MOV.AI is looking for a System & Product QA Engineer responsible for validating the MOV.AI Robotics Engine Platform as a complete, integrated product.
The role focuses on end-to-end product quality, system behaviour, usability and release confidence across the entire user journey.
The position combines:
- End-to-End Product Validation
- UI & Backend Testing
- UX Validation
- Exploratory Testing
- Python-based Automation
- Linux Installation & Deployment Validation
- Jira / Xray Test Management
- Collaboration with Product, Frontend, Backend, Robotics, DevOps and QA teams
This is not a traditional manual QA role nor a pure UI testing position. The ideal candidate must understand the platform as an integrated system and evaluate whether it behaves reliably, intuitively and clearly for end users.
Candidate Profile
1. Product QA Engineer
The ideal candidate should:
- Test complete product journeys rather than isolated features.
- Understand how users deploy, configure, monitor and troubleshoot AMR systems.
- Think from the perspective of deployers, field engineers, fleet operators and customer support.
- Identify product usability gaps even when the feature works technically.
- Combine structured testing with exploratory thinking.
Candidates who only execute predefined test cases without questioning product behaviour or user experience are unlikely to be a good fit.
2. UX & System Feedback Validation
The engineer should be able to assess whether:
- System states are communicated clearly.
- Error messages are understandable and actionable.
- Permissions and user capabilities are easy to understand.
- Operational warnings and robot status information are meaningful.
- Product behaviour provides sufficient guidance to users.
The focus is not only on whether a feature works, but whether users understand what happened, why it happened and what to do next.
3. End-to-End System Thinking
The candidate should understand complete workflows spanning:
- User Interface
- Backend Services
- Deployment Configuration
- Robot States
Expected capabilities include:
- Analysing failures across multiple layers.
- Investigating logs and backend states.
- Understanding pipeline outputs.
- Designing realistic deployment and operational test scenarios.
- Testing both happy paths and failure scenarios.
4. Hands-on Automation & QA
The engineer is expected to:
- Develop Python automation scripts.
- Simulate platform events.
- Validate backend states.
- Document findings in Jira.
- Organise regression testing and exploratory test cycles.
Approximately 70% of the role consists of hands-on testing, automation, investigation and product validation.
Candidates interested only in coordinating QA activities or executing manual checklists are not suitable.
Required Skills
Product & System Testing
Experience with:
- End-to-End Product Validation
- Exploratory Testing
- Scenario-Based Testing
- Complex Workflow Testing
- Bug Reporting
- Permissions Validation
- Error State Validation
- Operational Workflow Testing
UX & UI Quality
Strong understanding of:
- Usability
- User Guidance
- UI Feedback
- Dashboards
- Monitoring Interfaces
- Configuration Flows
- Operational Interfaces
- Product Behaviour
- Customer Experience
Python & Automation
Experience with:
- Python
- Automated Testing
- System Scripts
- API Validation
- System Integration Testing
- Regression Automation
- Backend State Validation
Linux & Deployment
Knowledge of:
- Linux / Ubuntu
- Command Line
- File Systems
- Processes
- Logs
- Services
- Configuration
- Installation Validation
- Update Validation
Jira, Xray & CI/CD
Experience with:
- Jira
- Xray
- Zephyr
- Test Planning
- Test Executions
- Release Readiness
- GitHub Actions
- Pipeline Logs
- Regression Failure Analysis
Nice-to-Have Skills
Previous experience with:
Robotics
- Autonomous Mobile Robots (AMRs)
- AGVs
- Industrial Automation
- Warehouse Software
- Fleet Management
- Mapping
- Localization
- Robot Deployment
- Monitoring
Testing & Automation
- API Testing
- Playwright
- Cypress
- Robot Framework
- pytest
Infrastructure
- Docker
- Kubernetes
- ROS
- Log Analysis
- Root Cause Investigation
Enterprise Software
- Customer-facing Enterprise Products
- Release Validation
- Safety-Critical Environments
Responsibilities
The successful candidate will:
- Validate the MOV.AI Robotics Engine Platform as a complete product.
- Test end-to-end user journeys from robot deployment to fleet monitoring.
- Execute exploratory testing from the perspective of deployers and operators.
- Validate UI messages, permissions, system states and error handling.
- Develop Python-based automated tests.
- Validate Linux installation, configuration and update processes.
- Investigate issues across the UI, backend, logs, configuration and CI/CD pipelines.
- Document defects in Jira and maintain evidence in Xray.
- Organise exploratory testing, regression suites and release readiness activities.
- Work closely with Product and Engineering teams to improve usability, reliability and transparency.
Deal Breakers
Candidates will not be considered if they:
- Have no exploratory testing mindset.
- Have no experience testing complete product workflows.
- Have no Python or scripting experience.
- Have no Linux fundamentals.
- Have no Jira-based defect management experience.
- Cannot write clear and reproducible bug reports.
- Have no understanding of user feedback, error handling or operational workflows.
- Have only a manual QA profile.
- Have only UI testing experience without understanding backend and system behaviour.
Reporting Line
The role reports to the QA Team Lead and works closely with:
- Product Management
- Frontend
- Backend
- Robotics
- Customer Delivery
The engineer acts as a quality advocate for end-to-end customer workflows and overall user experience.
Compensation
- Gross annual salary: €40,000 to €55,000
- Paid over: 14 monthly salaries.
- Exceptional candidates with strong exploratory testing and automation capabilities may receive compensation above this range.
