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Stealth • New York, New York, United States
Role & seniority: Senior QA Engineer / SDET; 10–15+ years in test automation and data-focused QA
Stack/tools: Python/Java for automation; API automation (Postman, Swagger, SoapUI, Karate, RobotFramework); SQL/NoSQL; Snowflake; Airflow; Kafka; AWS; CI/CD (Jenkins, cloud pipelines); Docker/Kubernetes; ETL frameworks; Jira/Confluence; Databricks; Linux/Mac/Windows
Design/build scalable automation frameworks for API, backend, and distributed systems testing
Validate large-scale ETL workflows and end-to-end data flows; develop automated data validation suites
Ensure quality across rapid release cycles; mentor peers and align with Engineering Lead/Architect direction
Extensive API automation experience; test automation in data-heavy, enterprise environments
Proficiency with Python and/or Java; SQL/NoSQL; AWS and cloud-native test infra; CI/CD
Experience with ETL/data validation, data integrity, and healthcare/cloud analytics domains is a plus
Healthcare/Claims domain experience; Generative AI tools; Snowflake, Kafka, Airflow
Experience with data engineering/ETL, migration to Oracle APIs, self-service UI backend design
Kubernetes/Docker, Jenkins, Control-M, MFT; distributed systems/Microservices
Location: San Ramon, CA; Dallas, TX; St. Louis, MO; New York, NY
Work type: Full-time (not explicitly specified in the posted details)
Please find below the requirement details for the Senior QA Engineer / SDET position.
Role: Senior QA Engineer / SDET
Location: San Ramon, CA / Dallas, TX / St. Louis, MO / New York, NY. Job Summary An accomplished Senior‑level QA Engineer / SDET with 10–15+ years of experience specializing in test automation, data validation, backend/API testing, ETL QA, and enterprise‑grade CI/CD quality engineering. Highly effective in building automation frameworks, validating complex data systems, ensuring data integrity, supporting rapid release cycles, and driving quality excellence across engineering teams. Demonstrates deep experience across, healthcare, cloud, analytics, and large‑scale distributed systems domains. Known for mentorship, proactive problem solving, and a strong shift‑left mindset that elevates product reliability and delivery confidence. Actively collaborates and seeks Engineering Lead and Architect direction setting the tone for their engineering peers. Test Automation & Framework Development Designs and builds scalable automation frameworks for API testing, backend & distributed systems validation. Builds automation using Python, Java Creates highly parallel, stable, and reusable testing infrastructure. Validates large‑scale ETL workflows, transformation logic, and end‑to‑end data flows. Designs automated data validation suites using Python/PyTest. Experienced with SQL, NoSQL, Snowflake, Airflow, Kafka, AWS Automates and validates RESTful APIs using Postman, Swagger, SoapUI, Karate DSL, RobotFramework. Extensive API automation across enterprise environments. Hands‑on experience across AWS CI/CD systems. Develops cloud‑native test infrastructure.
Experience with Other: diagnosing system issues, engaging in data validation, and providing quality assurance testing Experience with Data Manipulation; Data Mining
Programming Languages: Python/Java/Unix Shell Scripting/Oracle SQL/PLSQL/ETL/Control-M/MFT
Cloud & Infra Platforms: Cloud Kubernetes, AWS, Docker, Rancher, Jenkins
Automation Tools: Cypress, Playwright, PyTest.
Databases: MongoDB, Oracle/SQL, SQL Server, SQL Lite, MySQL, MongoDB, Snowflake
Containerization: Docker, Kubernetes
Development Tools: Jira, Confluence, Git, JuypterHub, Databricks.
Distributed Systems/Message Queues: Kafka; Control-M, Airflow, ETL Frameworks, Microservices
Operating Systems: Linux, Mac, HP-UX, Windows
Additional Skills: Migration from direct database connections to Oracle APIs, designing backend systems to enable self service UI capabilities, proven best in class quality delivery (techniques to ensure no bugs released to production)