Own QA strategy and release readiness for a healthcare AI platform. Responsibilities include authoring risk-based test plans, designing exhaustive functional and negative test cases, building Python-based API and UI automation, validating integrations and data, maintaining CI/CD regression suites, triaging flaky tests, and producing audit-ready verification and validation documentation for medical-device regulatory submissions. The role also champions testability and quality practices across engineering.
About Circadia Health
Circadia Health is a growth-stage healthcare AI company on a mission to prevent avoidable hospitalizations and transform senior-care operations. Our Circadia Intelligence Platform combines:
Contactless sensing that monitors respiration and motion with medical-grade accuracy
Native predictive models that detect 85% of preventable adverse events several days in advance
Enterprise integrations that operationalize predictions directly inside EHR, care-coordination, billing, and compliance workflows
Today, our technology touches 40,000+ post-acute patients daily across skilled-nursing, home-health, and home-care networks. We are backed by leading healthcare and AI investors and headquartered in El Segundo, CA.
Why this role exists
Care teams act on what our platform tells them, which is why we hold our software to a medical-grade quality bar. QA at Circadia is an engineering discipline in its own right: our platform carries 70,000 years of continuous vital signs joined to clinical records from more than 400,000 patients, and verifying it demands the same rigor that built it. You will join our QA team as a senior engineer and help scale that discipline as we grow toward hundreds of thousands of monitored patients — designing test strategy, expanding automation, and producing the verification evidence that supports our regulatory work, so that quality keeps pace with everything we ship.
What you'll own
- Test strategy and planning. Author test plans for new features, releases, and customer deployments — defining scope, risk-based prioritization, entry/exit criteria, environments, and data requirements — so that "tested" means the same thing to Engineering, Clinical, and Quality.
- Rigorous, exhaustive test case design. Build test suites that cover the platform's full behavior surface: boundary conditions, failure-mode handling, degraded-network behavior from facilities we don't control, malformed HL7 v2 and FHIR payloads, timezone and identity edge cases across EHR integrations (PointClickCare, Homecare Homebase, WellSky), and the alert-delivery paths where reliability matters most.
- Compliance-grade test reporting. Write comprehensive, detailed test reports and verification & validation documentation suitable for our Design History File, regulatory submissions (510(k)), and ISO 13485 / FDA QMSR audits — including requirements-to-test traceability matrices, defect trending, and evidence packages, in partnership with our Design Quality team.
- Automation and scripting. Build and maintain automated regression, API, and UI test suites in Python (PyTest) against our FastAPI services and React applications, integrated into CI/CD so every merge to production runs the full safety net. Script the tooling — test data generation, environment setup, synthetic device telemetry — that makes thorough testing fast.
- Regression protection. Own the release-readiness signal: a regression suite the team trusts, flaky-test triage, and a clear verdict on every release candidate.
- Quality culture. Champion testability across the engineering org — reviewing designs for verifiability, partnering with engineers on test coverage, and reinforcing quality as a property of how we build.
How success is measured
- Release quality: every release candidate ships with a clear, evidence-backed readiness verdict.
- Regression suite coverage and reliability: high coverage of critical paths, low flake rate, trusted by the team as a release gate.
- Audit readiness: test documentation accepted into the DHF and regulatory submissions without rework.
- Release velocity: automation reduces, not adds to, time from merge to production.
Required Qualifications
- 5+ years in software QA, SDET, or test engineering roles, with ownership of quality for at least one significant production system
- Demonstrated experience authoring formal test plans and designing systematic, exhaustive test cases (boundary analysis, equivalence partitioning, risk-based and negative testing)
- Experience producing detailed test reports and V&V documentation in a medical device, healthcare, or other highly regulated environment (FDA, ISO 13485, IEC 62304, or comparable)
- Strong Python scripting and hands-on automation experience with PyTest or similar frameworks, including API testing and UI automation (Playwright, Selenium, or equivalent)
- Experience testing integrations with third-party systems you do not control
- Strong SQL and comfort validating data across relational databases and warehouses
- Experience integrating automated tests into CI/CD pipelines
Preferred
- Software as a Medical Device (SaMD) verification, IEC 62304 software lifecycle documentation, or direct contribution to a 510(k) or CE submission
- Healthcare data and integration testing: HL7 v2, FHIR, ADT feeds, EHR vendor systems
- HIPAA / SOC 2 environments and sound PHI handling in test data
- Performance, load, or telemetry-ingestion testing at IoT scale
- Significant open source, systems that outlived your tenure, or a high-bar engineering background
Circadia Health is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by law.
Similar Jobs
Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Build and maintain automated data quality testing for customer data pipelines. Responsibilities include developing dbt, Soda, and SQL checks; validating schemas, loads, sequencing, and downstream reconciliations; detecting anomalies; managing severity levels and customer overrides; reporting quality metrics; and partnering with engineering teams to embed testing into new pipelines. The role requires strong backend testing, SQL, Python, Airflow, and Databricks experience, along with excellent debugging and communication skills.
Top Skills:
Apache AirflowCi/CdCypressDatabricksDbtDelta LakeGitPlaywrightPythonSodaSpark SqlSQL
Aerospace • Defense • Manufacturing
Develops and implements quality standards, process controls, testing, inspections, and improvement methods for products and manufacturing processes. Conducts audits of production processes, materials, and suppliers; analyzes defects and nonconformities; performs root cause analysis; recommends corrective actions; and supports compliance with ISO 9001. Collaborates with design, production, product management, and supplier teams to mitigate quality risks and improve supplier performance.
Top Skills:
Iso 9001ExcelMS OfficeMicrosoft PowerpointMicrosoft Word
Big Data • Cloud • Hardware • Software
Performs wafer failure analysis, quality disposition, manufacturing and process readiness reviews, 8D/CAPA closure, and FMEA across semiconductor fabrication. Partners with engineering and manufacturing teams to implement automated quality surveillance, anomaly detection, AI-assisted monitoring, and digitalization initiatives. Evaluates generative AI and digital-agent technologies to improve root-cause analysis, defect detection, risk assessment, and predictive quality management.
Top Skills:
Ai/MlAnomaly DetectionCopilotDigital AgentsGenerative AiHamrLarge Language Models (Llms)Statistical Process Control (Spc)
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
