Senior Automation QA Engineer

About Invenda

Invenda Group AG is an international technology company transforming automated retail through intelligent software and hardware solutions. With teams across Switzerland, US, Germany, Serbia, and Hong Kong, we are growing fast and continuously improving our internal operations.

To strengthen our engineering team, we are looking for a Senior Automation QA Engineer (7–15+ years) to join our engineering organization and take ownership of automation-first quality assurance across frontend, backend, API, performance, and data layers.

This role is critical for ensuring production-grade reliability, scalability, and observability of Invenda’s platforms.

• Design, implement, and maintain scalable automation frameworks using Cypress and Selenium
• Build and own end-to-end, integration, and regression test suites across complex distributed systems
• Ensure consistent test coverage aligned with product risk, architecture, and release velocity
• Drive automation standards, best practices, and long-term maintainability

• Design and execute REST API tests using Postman and automation extensions
• Validate API contracts, authentication, authorization, and data consistency
• Test asynchronous and event-driven workflows built on Azure Functions and AMQP messaging

• Plan, implement, and execute load, stress, and endurance testing using JMeter or equivalent tools
• Identify performance bottlenecks and scalability risks
• Collaborate with Backend and Platform teams on performance tuning and capacity planning

• Integrate test execution and results with Sonar Qube to track quality gates and coverage
• Use Datadog to analyze runtime metrics, error patterns, latency, and system health
• Correlate automated test results with production monitoring to drive proactive quality improvements

• Automate UI and workflow testing for Angular and Electron applications
• Validate user journeys, cross-platform behavior, and release stability
• Reduce flaky tests and ensure CI/CD-friendly automation

• Validate data flows and persistence across Mongo
  
  DB, SQL databases, and Databricks
• Test data correctness, transformations, and integrity across pipelines
• Support QA for analytics, reporting, and data-driven features

• Act as a senior quality authority within the engineering organization
• Define QA automation standards, testing strategies, and tooling guidelines
• Review test designs and automation code for quality, scalability, and maintainability
• Contribute to architectural discussions with a strong quality and risk perspective

• Work closely with Product, Frontend, Backend, Data, and Dev Ops teams
• Translate business and technical requirements into effective test strategies
• Identify systemic quality risks and propose automation-driven solutions
• Communicate quality status, risks, and recommendations clearly to stakeholders

• Excellent communication skills; full working proficiency in English
• Strong ownership mindset with the ability to drive initiatives end-to-end
• Proactive, structured, and detail-oriented
• Comfortable challenging assumptions and raising quality concerns early
• Mentor and support junior and mid-level QA engineers

• Cypress
• Selenium
• Postman (REST API testing)
• JMeter or equivalent performance testing tools

• Sonar Qube
• Datadog

• Frontend:
  Angular, Electron
• Backend: .NET, Azure Functions, AMQP
• Data:
  Mongo
  
  DB, SQL, Databricks

• Experience with CI/CD pipelines and Dev Ops-driven quality practices
• Exposure to IoT, distributed systems, or high-availability platforms
• Experience testing data-heavy or analytics-driven systems

• Work on production-scale, real-world systems used globally
• Influence quality strategy across frontend, backend, and data platforms
• Be part of a transparent, fast-moving engineering culture that values ownership and excellence
• Have real impact on system reliability, customer experience, and operational efficiency