Posted today · be early
Senior QA Engineer
Steer Health
IndiaremotePosted 1 day ago
Skill Required
QA-EngineeringQuality-AssuranceSoftware-TestingAI-ML-TestingVoice-AutomationSenior-QA-EngineeringSenior-Quality-EngineerSenior-QA-TesterSoftware-Quality-EngineerSenior-QC-EngineerSenior-QA-AnalystSenior-Product-QASenior-QA-Automation-EngineerQA EngineerManual TestingGitHub ActionsSystem DesignObservabilityCD pipelinesGCPWeb AccessibilityEngineeringJavaScriptTypeScriptPlaywrightautomationdevelopingWebSocketdesigningsimilar)debuggingNode.jsbuildingDatadogTestNGdesignGitCI/CDCloudContract
Key highlights
- Competitive base salary commensurate with experience.
- 5+ years of QA engineering experience, including 2 years with LLMs, AI APIs, or speech/audio pipelines.
- Expert-level Playwright skills.
- High‑autonomy environment with direct access to executive leadership.
- Work impacts 19M+ patients.
- Hands‑on experience with Google Cloud Platform (Cloud Run, GCS, Pub/Sub).
Role overview
Senior QA Engineer role focused on AI, voice automation, and cloud‑native systems. The engineer will own quality across the platform, testing LLM‑powered features and voice pipelines, ensuring robust end‑to‑end coverage on GCP infrastructure, and partnering with product, engineering, and AI teams to embed quality from the ground up.
Responsibilities
- 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.
Requirements
- 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.
Benefits
- 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.
Additional details
- 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.
- Core Technology Stack: Google Cloud Platform (GCP) – Cloud Run, GCS, Pub/Sub, Cloud Logging, GKE; 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.
- Originally posted on Himalayas.
