Teams at Nexaminds

Design, develop, and maintain native Android applications using Kotlin and Android Studio. Integrate mobile apps with RESTful APIs and backend services, collaborate with Java backend and React teams, troubleshoot production issues, participate in architecture discussions and code reviews, support releases and CI/CD improvements, and communicate technical progress and tradeoffs.

Principal Data Engineer responsible for developing and supporting Databricks pipelines, integrating heterogeneous healthcare data sources, modeling unified data products, and ensuring data quality and availability. The role partners with business stakeholders, product teams, data engineers, and clinical leaders to gather requirements, create datasets, support ad hoc analytics, enable machine learning and AI use cases, and assist with acquisition integrations. Extensive healthcare data, cloud, SQL, PySpark, and Python experience is required.

Leads enterprise quality engineering and test automation strategy across UI, API, integration, performance, and data layers. Architects Java-based automation frameworks, establishes CI/CD quality gates, drives ETL and data validation, and governs responsible AI adoption in QA. The role leads QA transformation initiatives, mentors engineers, collaborates with Engineering, DevOps, Data, and Product teams, and evaluates AI-enabled testing capabilities.