Senior QA Engineer at Steer-health — India

About The Role

Senior QA Engineer

> Steer Health · India (Remote) · Contract · Posted 2026-06-05

**Workplace:** remote

Description

About Us:

Steer Health helps healthcare organizations improve patient access, reduce operational burden, and recover revenue through AI-native workflow automation. Our lead product, Luna AI, acts as a voice-based digital workforce, handling patient access workflows such as scheduling, intake, and follow-up. We sit on top of existing EHR infrastructure and focus on measurable operational outcomes.

**About the Role**

We are looking for a Senior QA Engineer who thrives at the intersection of AI, voice automation, and cloud-native systems. You will own quality across our platform — from testing LLM-powered features and voice pipelines to ensuring robust end-to-end coverage on GCP infrastructure. You will work closely with product, engineering, and AI teams to embed quality from the ground up.

Requirements

Design, build, and maintain automated test suites using Playwright for web and API surfaces, including AI-generated content flows.

Lead QA strategy for voice automation pipelines built on ElevenLabs — developing test cases for synthesis quality, latency, and failure modes.

Validate Claude (Anthropic) integrations: prompt-response accuracy, edge case handling, safety behaviors, and output consistency across builds.

Build and maintain Node.js-based test tooling, harnesses, and custom reporters for CI/CD pipelines.

Deploy, monitor, and triage test infrastructure on Google Cloud Platform — leveraging Cloud Run, GCS, and Pub/Sub for scalable test execution.

Define and track quality metrics: test coverage, flakiness rates, mean-time-to-detect, and regression velocity.

Collaborate with engineers during design reviews to surface testability gaps and advocate for observable, fault-tolerant system design.

Mentor junior QA engineers and establish team-wide standards for test authoring, review, and maintenance.

**Required Qualifications**

5+ years of QA engineering experience, with at least 2 years on systems that include LLMs, AI APIs, or speech/audio pipelines.
Expert-level Playwright skills — authoring resilient selectors, managing parallel workers, and debugging flaky tests at scale.
Proficient Node.js developer — comfortable writing custom test runners, CLI tooling, and service mocks in TypeScript/JavaScript.
Hands-on GCP experience: deploying workloads to Cloud Run or GKE, querying logs in Cloud Logging, configuring artifact storage in GCS.
Familiarity with ElevenLabs or comparable TTS/voice APIs — understanding synthesis parameters, webhook flows, and audio quality evaluation.
Practical experience testing Claude or other LLMs — designing determinism-aware test strategies, evaluating prompt regressions, and building evals.
Strong understanding of REST, WebSocket, and gRPC protocols for API-level testing.
Experience integrating test suites into CI/CD pipelines (GitHub Actions, Cloud Build, or similar).

**Nice to Have**
Experience writing custom LLM evals or using evaluation frameworks such as PromptFoo or Braintrust.
Background in audio signal quality assessment or speech intelligibility testing.
Familiarity with observability tooling: OpenTelemetry, Datadog, or GCP Cloud Monitoring.
Knowledge of accessibility testing standards (WCAG 2.1) and assistive technology compatibility.

**Core Technology Stack:

Google Cloud Platform (GCP)**