Senior QA Automation Engineer

IDT

United States

A distancia

USD 120.000 - 160.000

Jornada completa

14 días+

Una candidatura completa en un minuto

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Ventajas ofrecidas por este puesto de trabajo

Remote work
Annual performance review
Training & conference funding
hardware support
English classes
Referral incentives

Descripción de la vacante

IDT is seeking a QA lead to own the quality strategy for an AI-powered voice product. You will design end-to-end test coverage across language models, speech services, and telephony, prioritizing automation and CI/CD integration.

You will assess variability in model outputs, build robust assertions, and monitor metrics such as accuracy, latency, transcription quality, and escalation correctness. Remote work options available for US-time overlap.

Formación

  • 5+ years of QA ownership for a complex, integrated production product.
  • Hands-on SIP/VoIP testing experience or related signaling knowledge.
  • Strong Python skills to build and maintain automation with pytest.

Responsabilidades

  • Own end-to-end QA strategy for an AI-powered voice product.
  • Lead test design for multi-turn conversations, interruptions, escalation, and recovery.
  • Develop evaluation approaches for variable model outputs and regression detection.
  • Test for hallucinations, prompt injection, data exposure, and guardrails.

Conocimientos

QA leadership
Python automation
Test strategy design
Analytical thinking
Agile/Scrum

Herramientas

pytest
Jira
CI/CD pipelines

Descripción del empleo

Role overview

Own quality strategy for an AI-powered voice product that combines language models, speech services, and telephony. This is a manual-testing-heavy leadership role: you will establish coverage standards, design challenging end-to-end scenarios, guide automation priorities, and investigate failures across the conversation and communications stack rather than serving as the primary framework developer.

Responsibilities
  • Participate fully in Scrum ceremonies and maintain clear testing artifacts and traceability.
  • Define end-to-end test strategy for multi-turn conversations, interruptions, ambiguous requests, escalation, recovery, and out-of-scope behavior.
  • Build evaluation approaches for variable model output using representative datasets, semantic or rubric-based assertions, and regression detection.
  • Test for hallucinations, weak grounding, prompt injection, guardrail bypasses, and unauthorized exposure of customer information.
  • Provision SIP endpoints and call scenarios, then isolate failures across language models, speech recognition, speech synthesis, media transport, and routing.
  • Expand automated coverage, connect suites to CI/CD release gates, and report metrics such as task completion, intent accuracy, latency, transcription quality, and escalation correctness.
Requirements
  • At least five years of QA experience owning quality for a complex, integrated production product.
  • Practical SIP/VoIP testing experience, including signaling, call flows, media handling, softphones, or trunking; able to use traces or packet captures.
  • Strong Python skills sufficient to build and maintain automation with tools such as pytest, plus experience reviewing and debugging test suites.
  • Experience testing probabilistic or non-deterministic systems and defining meaningful assertions for variable results.
  • Strong analytical and scenario-design skills, with the ability to use quality metrics to support release decisions.
  • Hands-on experience with formal test management systems and Jira, plus professional spoken and written English with overlap with US Eastern hours.
Nice to have
  • Experience with conversational AI, LLM evaluation, speech quality, retrieval grounding, WebRTC or media-layer testing, IVR/contact-center platforms, multilingual testing, or prompt analysis.
Benefits and work setup
  • Remote work, B2B engagement, long-term growth, annual performance review, hardware support, professional training and conference funding, English classes, and referral incentives.
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