Senior QA – Data Quality and Appliance

Who we are?

Headquartered in Perth, Australia, with offices globally including in Colombo, Sri Lanka, Qoria is an ASX listed global leader in child digital safety technology and services. We are a purpose-driven business, operating under the ‘Linewize’ brand in North America and Asia Pacific, the ‘Smoothwall’ brand in the UK, 'Octopus BI' in Sri Lanka and the ‘Qoria’ brand in EMEA. Our solutions are utilised by schools, school districts, and parental communities to protect children from seeing harmful content online, identify children at risk based on their digital behaviours and ensure teachers maintain focus and safe learning in the digital classroom. 30.000 schools and 7 million parents depend on our solutions to keep 25 million children safe in 180 countries around the world.

What’s the opportunity?
We are seeking a skilled Senior QA – Data Quality and Appliance to join our team and play a key role in developing and implementing data-driven solutions that enhance business intelligence capabilities.

Octopus BI, a part of Qoria, is committed to delivering cutting-edge data analytics and integration solutions that drive informed decision-making.

Key Responsibilities:

• Define and lead quality assurance strategies focused on data validation, device-level testing, and system reliability.

• Develop and execute advanced test plans for functional, regression, performance, and appliance-level testing.

• Build and maintain automated testing frameworks with a focus on large-scale data quality, edge device behavior, and end-to-end validation.

• Conduct root cause analysis for complex issues involving data anomalies, sync issues, or appliance misbehavior.

• Collaborate with data engineers, backend developers, and product managers to refine test coverage for data ingestion, transformation, and appliance logic.

• Oversee data validation across APIs, databases, and stream processing pipelines, ensuring high accuracy and trust in analytics outcomes.

• Perform firmware and appliance testing, including failover, reconnection logic, device simulation, and update handling.

• Mentor junior QA engineers on data-centric QA approaches and device reliability techniques.

• Drive continuous improvement in test automation coverage, observability in test environments, and preventative QA practices.

• Integrate quality practices across CI/CD pipelines and collaborate with DevOps for automated deployment verification.

• Participate actively in Agile ceremonies, bringing a data quality and appliance reliability lens to discussions.

• Stay up to date with trends in data QA, edge computing QA, and smart appliance testing strategies.

Required Skills & Qualifications:

• Bachelor's degree in Software Engineering, Computer Science, Data Engineering, or a related field.

• 5+ years of QA experience, with at least 2 years in a senior or lead QA role.

• Proven experience with data quality assurance, ETL pipeline testing, and high-throughput systems.

• Strong hands-on experience with Selenium, Cypress, or similar automation tools.

• Proficiency in scripting or programming (e.g., Python, JavaScript, Java) for automation and data validation.

• Experience with JMeter, Locust, or equivalent for performance and stress testing.

• Familiarity with data profiling, schema validation, and anomaly detection techniques.

• Experience testing hardware appliances, embedded software, or IoT-style edge devices.

• Exposure to firewall testing, network security validation, and protocol-level diagnostics is highly desirable.

• Hands-on API testing using tools like Postman, RestAssured, or custom scripting.

• Solid understanding of Agile practices, Scrum, and shift-left quality approaches.

• Strong leadership and mentoring capabilities.

• Excellent written and verbal communication skills, with a focus on clarity and influence.
  
  

If you are passionate about data and looking for an opportunity to work on impactful projects, apply now!