We are evolving our engineering organization toward an AI-native development model and are therefore looking to hire AI-Native QA Engineers who combine strong quality engineering fundamentals with the ability to work effectively in an AI-augmented workflow.
Overview
Your mission: ensure product quality, reliability, and test coverage at scale while using AI as a force multiplier — without compromising QA excellence.
Key Challenges
Maintaining test rigor, product quality, and validation accuracy in an AI assisted development environment
Scaling QA processes while balancing coverage, reliability, and execution efficiency
Coordinating parallel AI-driven development and testing streams without losing traceability, coherence, or quality control
Key Responsibilities
Boasts proven experience in quality engineering and automation.
Maintains a user-centered mindset and has experience with Agile methodologies.
Loves staying abreast of emerging trends and technologies.
Has the ability to collaborate with cross-functional teams and stakeholders effectively.
Has the ability to work autonomously with an engineering team, identifying and challenging quality needs.
Work in automation projects, implementing new automated tests and maintaining the existing ones.
Work in technical projects, assisting your colleagues and the project lead in the development of new testing tools and frameworks.
Manage the bug backlog for the engineering team with who you will be working.
Create and maintain Test Plans for the user stories to be developed by the Engineering team that you are working with.
You will work with the global QA team and collaborate daily with our engineering teams, developers and product owners.
Key Requirements
Hard skills
At least 4 years of experience as a Quality Engineer, with a focus on automation.
Expertise in C# or Javascript
Proficiency in one or more of the following: Playwright, Bruno.
Understanding of the differences between synchronous and asynchronous systems.
Experience working in Microservice projects
Experience working with On-Premise products.
Experience in Agile environments
Knowledge of the different types of automation and testing methodologies
English fluency
Soft Skills
are curious and adaptable
learn new tools and technologies quickly
think in systems rather than individual components
prefer simple solutions over unnecessary complexity
take ownership of engineering quality
Most importantly, we look for engineers who can combine human judgment with AI capabilities to build better software.
Our Offer
A fast-paced, high-growth environment where you can make a real impact.
Opportunities for career advancement and continuous learning.
A collaborative, customer-first culture that values innovation and teamwork.
Competitive salary and comprehensive benefits.
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