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. The Main Challenges You'll Face Are 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 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. Key Requirements Hard Skills 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 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. Team Information You’ll join the QA Engineering team, working closely with Engineers, Product Owners and Project Managers. Team size: 10, global. #J-18808-Ljbffr Lansweeper