About Us

At Nextlane , we don’t just develop software solutions – we create the future of the automotive industry.

We are a company that combines advanced technology with a clear vision: simplifying and digitizing every step of the automotive customer journey, empowering manufacturers and dealerships to thrive in a constantly evolving market.

We believe in the value of every team member, offering opportunities for you to develop and contribute to meaningful solutions.

So… What does it mean to be a #Nextlaner?

- Be part of a g rowth-oriented culture.

- Collaborate with colleagues from all over the world.

- Believe in the P ower of ideas and the diversity of thought .

- Be committed to provide an environment where you can learn, grow, and collaborate on projects that make a general impact.

Our success is measured not just by results, but also by the growth and satisfaction of those who are part of our company.

At Nextlane, you’ll have the opportunity to innovate , push boundaries , and work on solutions that are transforming the automotive world.

About the role:

We are looking for a QA Automation Engineer (Mid/Senior) to turn our quality engineering strategy into working automation, every sprint. Working alongside our QA AI Automation Staff Engineer, who defines the frameworks, standards and metrics, you will be the person who builds, extends and runs them inside product teams. This is a hands-on, delivery-focused role. You will write and maintain automated tests across API, UI, integration and regression layers, plug them into CI/CD pipelines,



and put AI-assisted testing techniques into daily practice. You will work embedded with developers, product owners and DevOps so that quality is built in from the first story, not inspected at the end. You will help Nextlane move from fragmented, manual-heavy testing toward a consistent, automated and measurable quality practice across a unified, platform-led product organization.

Test Automation Delivery

- Design, develop and maintain automated tests across API, UI, integration, regression and data layers , following the QA automation strategy and defined standards.

- Translate user stories and acceptance criteria into test cases and automated scenarios from the beginning of each sprint, working closely with developers and Product Owners.

- Enhance shared automation frameworks by creating reusable components, utilities, fixtures and test data builders that can be leveraged across teams.

- Convert manual regression test suites into automated tests, focusing first on the highest-risk and most frequently executed workflows .

- Ensure automation suites remain fast, stable and reliable by identifying flaky tests, addressing root causes and eliminating redundant coverage.





AI-Assisted Testing in Practice

- Use AI tools such as LLMs, GitHub Copilot and similar solutions to generate test cases, test data and automation scripts, while critically reviewing outputs before implementation.

- Pilot and implement AI-driven testing approaches, including self-healing locators, specification-based test generation and AI-assisted failure triage .

- Leverage test analytics and defect trends to identify high-risk areas and help define testing priorities.

- Share learnings, prompts and best practices with the wider QA community to scale successful AI testing initiatives.

CI/CD & Quality Operations

- Integrate automated test suites into CI/CD pipelines using GitHub Actions , with deployments hosted on AWS and Azure , ensuring testing occurs on relevant commits, pull requests and releases.

- Configure and maintain quality gates, reporting mechanisms and dashboards that provide rapid and actionable feedback to teams.

- Collaborate with DevOps teams to manage test environments and test data , ensuring reproducibility and version control.

- Monitor and report on QA metrics such as automation coverage, pass/fail rates, defect leakage and execution times .

- Support incident management activities by:

- Reproducing and triaging production issues.

- Validating fixes and hotfixes.

- Contributing to root-cause analysis and postmortems.

- Transforming lessons learned into new regression tests and process improvements.

📌 QA Automation Engineer (España)
🏢 Nextlane
📍 España