Senior QA Engineer Austin - Cyber Asset Intelligence Platform

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.

Your mission: ensure product quality, reliability, and test coverage at scale while using AI as a force multiplier — without compromising QA excellence.

• 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

• 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 whom 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.

• At least 4 years of experience as a Quality Engineer, with a focus on automation.
• Proven experience in Data Quality and Data Pipelines
• Expertise in C# or Java script
• 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

• 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.

• 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.

You’ll join the QA Engineering team, working closely with Engineers, Product Owners and Project Managers. Team size: 10, global.