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 Lead Platform Quality Architect is a senior, hands-on technical leader responsible for defining, architecting, and executing StarCompliance’s centralised Platform Quality Engineering strategy across the enterprise SaaS platform.
This role is the technical authority for platform-level quality assurance, including integration assurance, CI/CD quality gates, performance engineering, and enterprise-level release confidence. Reporting to the VP of Engineering, the Lead Platform Quality Architect leads a centralised team of highly skilled Platform Quality Engineers, while remaining deeply hands-on in architecture, framework design, complex automation scenarios, and performance engineering.
The role is accountable for translating quality strategy into executable architecture and measurable outcomes, ensuring that quality is engineered into the platform rather than inspected at the end. The Lead Platform Quality Architect owns the Staging environment as the primary platform integration and validation layer and plays a critical role in shaping how product teams design, test, and release software at scale.
As StarCompliance continues to treat AI as a foundational engineering capability, this role is also responsible for embedding AI-assisted Quality Engineering practices into platform-level tooling, automation strategy, and release governance in a controlled, measurable, and compliant manner.
This is a delivery-focused role requiring proven experience leading Quality Engineering functions in SaaS environments through both architectural design and hands-on execution.
How We Think About AI
At StarCompliance, AI is not a side experiment or an isolated specialist capability. We treat it as a foundational part of modern software engineering and SaaS platform development.
We expect engineers to:
- Actively use AI-assisted engineering tools as part of their daily workflows.
- Apply AI to improve design quality, development velocity, automation depth, operational insight, and overall engineering effectiveness.
- Ensure AI-generated outputs are validated, auditable, and compliant with security, privacy, and regulatory standards.
- Understand and manage the risks associated with AI use in regulated environments.
- Adopt AI responsibly, pragmatically, and at scale in ways that strengthen engineering outcomes without compromising governance.
For Engineering, AI is a force multiplier - accelerating delivery, improving quality, enhancing diagnostic capability, and strengthening release confidence. It must be applied with architectural discipline and measurable impact.