Senior QA Engineer

Steer Health; India; On-site; INR 2,800,000 - 4,200,000; Full time

Benefits offered by this job

Competitive salary

Autonomy

Career growth

Impact on patients

Job summary

Steer Health in India seeks a Senior QA Engineer to own quality across our AI-powered healthcare platform, including LLM-powered features and voice automation on GCP. You will collaborate with product, engineering, and AI teams to embed quality from the ground up.

Responsibilities include designing automated test suites with Playwright, leading QA strategy for ElevenLabs-based voice pipelines, validating Claude integrations, building Node.js test tooling, and mentoring engineers.

Qualifications

• 5+ years QA engineering experience with AI or speech pipelines.
• Expert Playwright skills with resilient selectors and parallel workers.
• Strong Node.js/TypeScript development for test tooling.
• Hands-on GCP deployment and CI/CD integration.

Responsibilities

• Own quality across the platform including LLM and voice pipelines.
• Design and maintain automated test suites for web and API surfaces.
• Lead QA strategy for voice automation pipelines and AI integrations.
• Mentor juniors and define testability standards.

Skills

Playwright

Node.js/TypeScript

GCP

LLM/AI testing

CI/CD testing

Tools

Cloud Run

GCS

Pub/Sub

Cloud Logging

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.

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) 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

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

Originally posted on Himalayas