About StarCompliance
StarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency.
Role
The Platform Quality Engineer is a hands-on engineering role within StarCompliance’s centralised Platform Quality Engineering function, responsible for ensuring platform-level quality assurance across the enterprise SaaS platform.
Reporting to the Lead Quality Architect, the Platform Quality Engineer contributes directly to the design, implementation, and maintenance of automated quality controls that validate cross-service integration, core enterprise user journeys, and non-functional platform characteristics. The role is focused primarily on integration and API-level testing across a distributed, cloud-native system, including asynchronous and event-driven workflows.
StarCompliance’s enterprise platform is built on distributed services and cloud infrastructure, including messaging and integration components such as Azure Service Bus. The Platform Quality Engineer is expected to understand how these systems behave under load, failure, and recovery conditions, and how to test them to ensure reliability, resilience, and performance at scale.
The role places strong emphasis on validating failure modes, resilience, and recovery behaviour across distributed services, diagnosing complex system failures using logs, telemetry, and test data, and contributing to enterprise performance testing.
The Platform Quality Engineer works closely with Product Owners and engineering teams to understand upcoming platform changes and integrations, ensuring the enterprise platform is validated under realistic functional and load scenarios ahead of release