Software Quality Assurance Engineer

Trillet AI is a cutting-edge voice AI platform designed for organizations where every call impacts operations, finances, or compliance. Our AI agents verify callers, interact with live business systems, perform approved actions, and complete follow-up tasks. This transforms calls into bookings, payments, case resolutions, CRM updates, and escalations. We serve regulated, high-volume sectors such as healthcare, legal, financial services, debt recovery, retail, enterprise support, and agency-led deployments. Our flexible deployment options include cloud, private cloud, and on-premise environments, allowing enterprises and agencies to build and manage secure AI call workflows tailored to their needs.

Key Responsibilities
- Own quality assurance across Trillet’s full platform, including dashboards, integrations, billing, backend systems, and APIs powering the voice AI.
- Design and execute comprehensive test plans to validate data flows and system integrations.
- Build and maintain automated QA pipelines to detect regressions before production release.
- Test multi-tenant white-label infrastructure, billing and usage logic, third-party integrations (CRMs, telephony providers, SIP trunks), admin dashboards, and API contracts.
- Validate voice call flows, including routing, transfers, tool calling, and latency.
- Write, maintain, and execute manual and automated test cases and regression suites.
- Document, triage, and track defects, collaborating closely with engineering and product teams to ensure timely resolution.
- Define and uphold quality standards for a platform where billing errors or broken integrations have significant business impact.
- Contribute to the continuous improvement of testing processes and tooling as the platform scales.

Required Qualifications
- Strong fundamentals in QA and software testing, emphasizing reliability, compliance, and edge-case scenarios.
- Proven experience in manual testing and executing tests on complex, integrated full-stack systems.
- Ability to design, document, and maintain clear and comprehensive test cases and regression suites.
- Experience setting up and maintaining automated QA pipelines, including CI/CD integration and scheduled test runs.
- Hands-on experience testing web dashboards, admin panels, or SaaS platforms end to end.
- Familiarity with API testing, third-party integrations, and validating data flows across services.
- Proficiency with defect tracking tools, test management systems, and version control (Git).
- Strong analytical, troubleshooting, and communication skills with meticulous attention to detail.
- Minimum of one year of practical QA experience.

Preferred Qualifications and Benefits
- Exposure to testing voice, telephony, or real-time systems is advantageous.
- Comfort using AI-assisted testing tools for test case generation, log analysis, or defect triage (e.g., Claude, Copilot, or similar).
- Experience working in enterprise, cloud, or regulated environments such as healthcare, finance, or legal sectors is a plus.

This role offers the opportunity to work on a sophisticated voice AI platform that supports critical business functions across multiple industries. You will be instrumental in ensuring the highest quality standards, helping to shape the future of AI-driven customer interactions.