Senior QA Engineer

Steer Health; United States; Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Autonomy with leadership

Clear goals & metrics

Impact on 19M+ patients

Job summary

Steer Health is seeking a Senior QA Engineer to own quality across our AI-native platform. You will test LLM-powered features, voice automation workflows, and cloud-native pipelines on GCP.

Collaborate with product, engineering, and AI teams to embed quality from the ground up. You will design and maintain automated tests with Playwright, lead QA strategy for ElevenLabs-based voice pipelines, validate Claude integrations, and build CI/CD test tooling.

Qualifications

• 5+ years in QA engineering, with 2+ years on AI or speech/pipeline systems.
• Expert Playwright skills for resilient selectors, parallel workers, and flaky tests.
• Proficient in Node.js/TypeScript and custom test tooling.
• Hands-on GCP experience with Cloud Run, GCS, and Pub/Sub.
• Experience testing Claude or other LLMs and AI API integrations.

Responsibilities

• Design, build, and maintain automated test suites for web and API surfaces.
• Lead QA strategy for voice automation pipelines and TTS systems.
• Validate AI integrations (Claude) and ensure deterministic behavior across builds.
• Develop CI/CD test tooling and integrate tests into GitHub Actions or Cloud Build.
• Mentor junior QA engineers and promote testability across the platform.

Skills

QA engineering

LLM/AI/API testing

Voice/audio testing

CI/CD testing

Test strategy & mentoring

Tools

Playwright

Node.js/TypeScript

GCP (Cloud Run, GCS, Pub/Sub)

REST/WebSocket/gRPC

Observability tools (OpenTelemetry, Datadog)

Job 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.

• 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)

• Cloud Run, GCS, Pub/Sub, Cloud Logging, GKE for scalable test infrastructure

ElevenLabs — Voice Automation
TTS pipeline testing, synthesis quality evaluation, webhook and latency validation

• Node.js / TypeScript
  Custom test runners, service mocks, CLI tooling, and CI/CD integration
• Playwright
  End-to-end and API-level browser automation with parallel execution
• Claude (Anthropic)
  LLM integration QA, prompt regression testing, and output evaluation

• Competitive base salary commensurate with experience
• High-autonomy environment with direct access to executive leadership
• Structured operating cadence with clear goals, metrics, and career growth targets
• Work that touches 19M+ patients — the mission is real

Flexible PTOs policy