Full-Time Quality Engineer

Engineering @ GROW Inc.

We are passionate technologists with an appreciation for clean code and fault-tolerant systems. Our team is distributed across Australia and the Philippines, with engineers collaborating across regions. We believe in leveraging different perspectives and backgrounds because that makes our team and product stronger.

What you will do

• Use a data-driven approach to decide what needs to be manual vs. automated.
• Improve our QA process and practices.
• Build and own self-service testing platforms and tools to empower teams to test their code effectively and efficiently. E.g. frameworks for functional, performance, and resilience testing.
• Augment engineering teams and help them uplift their quality practices using the frameworks you build.
• Write clean code, perform code reviews and produce documentation.
• Advocate for and implement CI/CD practices that integrate quality checks into every stage of the software delivery pipeline.
• Drive a shift-left approach by embedding quality practices early in the development lifecycle, enabling faster feedback and reducing defects downstream.
• Collaborate with cross-functional teams to identify test scenarios and acceptance criteria that align with the quality strategy.
• Drive operational excellence by contributing to run books, incident response protocols, and reliability improvement initiatives.
• Proactively identify opportunities to improve our software engineering practices.
• Foster a culture of collaboration and knowledge across product, design and engineering.

Qualifications

• 4+ years of experience of testing complex applications.
• Fluency in a modern programming language. We use TypeScript.
• Strong experience in test automation of UI using frameworks like Playwright (or similar).
• Strong experience in test automation of API and Event-driven services.
• Strong experience with modern CI/CD processes and related tools like BuildKite.
• Good knowledge of Cloud architecture principles, Microservices and resiliency patterns.
• Experience with performance testing tools like k6, Artillery or Gatling.
• Experience working with AWS, databases (SQL or NoSQL), containerization tools such as Docker, observability tools like Elastic or Sentry, and Infrastructure as Code tools such as Terraform.

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