Senior QA Engineer Austin/Montréal - 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 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
We value QA engineers who:
- 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.
About Lansweeper
Lansweeper is the AI Cyber Asset Intelligence platform helping IT and Security teams gain full visibility, reduce cyber risk, and scale automation with confidence.
In today’s complex IT, OT, cloud, and IoT environments, fragmented asset data slows decisions and increases risk. We transform raw asset data into a continuously validated, trusted source of truth — so teams can move faster and act with certainty.
With Lansweeper, Organizations Can
See – Truly complete visibility across hybrid environments
Know – Enriched asset intelligence with lifecycle and risk context
Act – Automate workflows, coordinate remediation, and enforce policy at scale
From universal asset discovery to AI-powered intelligence, we provide the shared foundation modern IT Operations, Cybersecurity, and Digital Transformation teams rely on.
Our Culture
We’re built on four core values:
One Team – United across boundaries
We Care – Customers and people at the center
We Grow – Learning, sharing, improving
We Deliver – Focusing on what truly matters
Team Info
You’ll join the
QA Engineering team
, working closely with
Engineers, PO’s and PM’s.
Team size:
10
, global.
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