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Mid LevelFull-timeTypeScriptPythonC#AzureCI/CDAIAPI
Salary Range
$76,500 - $103,500 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the 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.
Key Responsibilities
- →Design, implement, and maintain automated tests primarily at the integration and API layers to validate behaviour across distributed services.
- →Develop tests that validate asynchronous and event-driven workflows, including messaging, retries, ordering, and failure scenarios.
- →Contribute production-quality code to shared automation frameworks and quality tooling.
- →Design and execute performance and scalability tests for the enterprise SaaS platform.
- →Build and maintain performance test data, scenarios, and workloads that reflect real-world usage patterns.
- →Integrate automated functional and performance tests into CI/CD pipelines.
- →Support validation activities within the Staging environment.
- →Analyse test results to identify systemic platform risks and improvement opportunities.
- →Partner with Product Owners to understand upcoming platform changes and integrations.
- →Collaborate with architecture, platform, and engineering teams to improve system testability, reliability, and observability.
- →Apply AI-assisted engineering tools to accelerate test creation and improve coverage.
- →Adhere to and contribute to quality standards, patterns, and engineering practices.
Requirements
- ✓Demonstrable experience in platform- or enterprise-scale SaaS application quality assurance.
- ✓Strong coding skills in C#, TypeScript, or Python.
- ✓Experience designing and maintaining automated tests at the integration and API layers for distributed, cloud-native systems.
- ✓Solid understanding of cloud-native architectures and how to test them.
- ✓Hands-on experience testing event-driven systems using cloud messaging or integration technologies.
- ✓Strong hands-on experience with performance testing tools and approaches.
- ✓Experience designing realistic performance test scenarios and generating representative test data.
- ✓Practical experience integrating functional and performance testing into CI/CD pipelines.
- ✓Experience diagnosing complex system failures using logs, telemetry, and test data.
- ✓Hands-on experience using AI-assisted engineering tools.
- ✓Strong analytical and problem-solving skills.
- ✓Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline, or equivalent practical experience.
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