Senior QA Automation Engineer

Job Description
The way the world consumes products is transforming—from ownership to usership—and DigitalRoute is positioned in the centre of the transition.

Enterprises pivoting to usage-based models often make an unfortunate discovery: their systems weren't built to handle massive data volumes and complexity that usage based models generate. This causes them to leak revenue and respond too slowly to customer demand.

DigitalRoute solves this.

We provide enterprises with a real-time usage data layer that transforms raw usage data into actionable information for billing, in real time and at high scale.

We are actively building our latest platform Usage Engine Cloud Edition - a multi-tenant cloud based SaaS offering to our clients. We are already processing billions of events per month and some very well-known companies are coming on board right now.

As we evolve, we're shifting our focus to extracting insight and delivering value from the data we process. We call this Usage Intelligence—delivering capabilities like anomaly detection, usage forecasting, and churn prediction. These innovations are powered by AI and machine learning, which are becoming a core part of our product strategy to help our customers stay ahead in a data-driven world.

What You'll Do

• Design, implement, and maintain robust automation frameworks for frontend, and backend testing.
• Develop and optimize automated test scripts using Playwright and ensure coverage across functional, regression, integration, and performance testing.
• Build data-driven, reusable test suites that evolve with the product and support testing for big data pipelines, event-driven interactions, and LLM-based features.
• Execute automated test suites, analyze results, report defects, and work closely with developers to reproduce and debug issues.
• Collaborate with DevOps to integrate automated tests into CI/CD pipelines (GitHub Actions or similar).
• Ensure tests run reliably in containerized and Kubernetes-based environments.
• Test cloud-native, microservices-based systems on AWS, leveraging Docker, Kubernetes, and Datadog monitoring.
• Validate scalability, resilience, and performance in a multi-tenant SaaS environment.
• Work side by side with the Lead QA to align on QA strategy and standards.
• Collaborate daily with developers, product managers, and DevOps engineers to embed quality into the delivery process.
• Contribute to test design discussions with a focus on maintainability and scalability.
• Actively participate in backlog grooming, and sprint planning bringing a test-first perspective.
• Promote shift-left testing by engaging early in design and requirement discussions.
• Continuously improve automation practices and introduce new tools and techniques.
• Stay updated with automation, DevOps, and AI-driven testing trends.
• Experiment with AI-powered testing approaches to boost efficiency and coverage.

What You'll Bring

• Strong coding skills in JavaScript/TypeScript (bonus: Java).
• Proven experience with automation tools (Playwright).
• Hands-on experience with CI/CD (GitHub Actions) and Git.
• Strong experience testing cloud-based SaaS platforms, including complex, large-scale data pipelines.
• Good understanding of microservices, APIs, and event-driven architectures.
• Practical knowledge of Docker, Kubernetes, AWS.
• Solid grasp of software testing methodologies (integration, component, performance, contract, regression).
• Curiosity and adaptability: interest in AI testing and modern quality engineering practices.
• Excellent collaboration and communication skills to work in cross-functional teams.

DigitalRoute is committed to fostering an inclusive and diverse environment, and we actively encourage qualified candidates of all genders, sexual orientations, ethnicities, disabilities, and ages to apply. Join our global and diverse company, where our differences are our strengths.

We follow a continuous selection process, and the position may be filled before the last application date.

We look forward to receiving your application