Senior Software Development Engineer in Test

Senior Software Development Engineer in TestEllipsis Health is creating cutting-edge AI/ML products that solve healthcare staffing challenges and administrative burdens using conversational AI and our patented voice biomarker technology—helping deliver better healthcare for everyone.We are seeking a Senior Software Development Engineer in Test with strong experience in both functional testing and test automation for commercial-grade data products leveraging Machine Learning and GenAI. This role requires a hands-on engineer who can validate complex data workflows end-to-end while also building scalable automation to improve coverage and efficiency.You will collaborate closely with ML, Data, and Engineering teams to ensure the reliability, scalability, and performance of our healthcare platform, built using Databricks, DBT, PostgreSQL. Ellipsis Health is located in the San Francisco Bay Area, but we are open to remote candidates within the United States.Key Responsibilities:Perform both manual (functional) testing and automation for data pipelines, APIs, and AI-driven workflowsUnderstand business logic using SQL and scripting (e.g., Python) to design comprehensive test scenariosDesign, develop, and execute functional test plans, test cases, and test scripts for ETL pipelines, ensuring data accuracy, integrity, and completenessBuild and maintain automation frameworks for ETL, API, and workflow testing to improve coverage and efficiencyValidate data transformations, mappings, and data loads across all stages of the ETL lifecyclePerform data validation and reconciliation between source systems, staging layers, and target data storesConduct manual validation for critical workflows and edge cases where automation is not sufficientIdentify, document, and track defects; collaborate closely with engineering teams to resolve issuesConduct root cause analysis for data discrepancies and contribute to quality metrics and reportingParticipate in Agile ceremonies, providing QA input during sprint planning, grooming, and retrospectivesLead functional validation efforts and support test environment setup for data pipelines and workflowsWork with cross-functional teams and external partners to validate integrations with healthcare data platformsSupport production releases, hotfix validation, and post-deployment verification, ensuring minimal impact to customersCollaborate with Implementation/Onboarding teams to triage production data issues and improve test coverageValidate healthcare-specific data models for compliance with regulatory and business requirementsRequired Qualifications:5+ years of experience in SDET or QA roles with a strong mix of functional testing and automationStrong understanding of ETL testing, data validation, and data quality assurance practicesProficiency in SQL for data validation, reconciliation, and test designHands-on experience with Databricks, Apache Spark, or similar data platformsExperience with DAG/workflow orchestration tools such as Apache Airflow or Databricks WorkflowsExperience building and maintaining test automation frameworks (e.g., Playwright, Cypress, Selenium)Experience with API testing tools such as Postman, RestAssured, or similarStrong knowledge of QA methodologies, test design techniques, and defect tracking processesExperience working in Agile/Scrum environmentsExperience testing systems that incorporate Machine Learning models, Speech-to-Text, or Text-to-Speech systemsStrong analytical and problem-solving skills with attention to detailExcellent communication and collaboration skillsExperience creating test plans, test strategies, and quality processes for data/ETL releasesBasic understanding of LLMs and AI-driven features, including how to test them effectivelyNice to Have:Experience in healthcare or regulated environments, especially with ETL workflowsKnowledge of healthcare data standards such as HIPAA, HL7, or FHIRStrong experience with PostgreSQL and database testing for reporting and ETL validationFamiliarity with cloud data platforms such as Snowflake, Redshift, or BigQueryExposure to monitoring and logging tools like Splunk, Datadog, or similarExperience with data visualization tools like Tableau, Power BI, or Looker for validating reporting layersExperience using scripting (e.g., Python, Shell) for automation and data validationFamiliarity with testing considerations for LLMs and GenAI systemsSalary and BenefitsWe offer a competitive salary of $140-$160k and benefits, including a 401k that matches up to 4% of your salary, health, vision, and dental insurance, and very flexible paid time off.Background ChecksAs a health technology company, we reserve the right to run a background check on any applicant to which we extend an offer and to re-perform any such check at any time during the course of employment. Please know that there is no set policy on rejecting candidates due to certain background check results, and that we consider a candidate as a whole before making any decisions. We comply with all "ban the box" laws in applicable jurisdictions.AssistanceIf you have a disability or otherwise require any assistance whatsoever in the application or recruitment process, please feel free to submit a request to View email address on click.appcast.io.