Jobs at Get Well Network

Build and configure multi-step digital care pathways using Contentful and Total.js: implement conditional logic, alerts, enrollment rules, multi-channel messaging, integrations, and testing. Manage content modeling, multi-language assets, QA, documentation, and cross-team collaboration to translate clinical requirements into patient-facing programs.

Lead the design and development of scalable cloud-native applications in healthcare, providing technical leadership and ensuring high standards in system architecture, compliance, and mentoring teams.

The Senior AI QA Engineer will design robust testing frameworks for validating clinical pipeline outputs and ensure data integrity through advanced QA practices in AI/ML.

Own technical delivery of the central admin console and content systems: manage CMM, media ingestion/CDN streaming, third-party integrations, device controls, analytics, and cross-functional resiliency and release alignment. Coordinate engineering, backlog, and sprints to scale operational deployments.

Own technical delivery of mobile experiences across iOS, Android and PWAs on BYOD and clinical devices. Drive mobile Gen AI, MDM/security, hardware integrations (camera, biometrics, BLE), app store distribution, analytics, and cross-functional backlog, sprint execution, and engineering coordination.

Own technical delivery for integration and ecosystem layer: interoperability (HL7/FHIR), reusable APIs, IoT telemetry, multi-tenancy, security (OAuth/OIDC, HIPAA), monitoring, analytics, and cross-functional coordination of backlog and sprints.

The Senior QA Engineer will design and maintain test automation frameworks, integrate testing into CI/CD, and optimize test reliability. The role emphasizes ownership of quality in a fast-paced environment with an AI-first approach.

Build, test, and optimize cloud-native batch and real-time data pipelines (Spark/Databricks, Snowflake) with orchestration (Airflow/Temporal/dbt), enforce data quality and compliance (HIPAA/GDPR), collaborate cross-functionally, and support platform scalability in a healthcare environment.

Lead architecture, development, and deployment of production-grade healthcare AI: LLMs, multimodal models, STT/TTS, and agentic systems. Build MLOps/CI-CD on Azure, ensure observability, compliance (HIPAA/GDPR), mentor engineers, and collaborate with product and clinical teams.

The Principal Engineer will lead AI solution development, focusing on Large Language Models and multimodal AI systems, ensuring technical excellence and cross-functional collaboration in healthcare technology.

Lead AI initiatives in healthcare, focusing on model development, deployment, and cross-functional collaboration while ensuring compliance and addressing data challenges.

The Staff Data Software Engineer will develop data infrastructure for healthcare applications, optimize cloud-native platforms, and mentor junior engineers. Responsibilities include data pipeline development, ensuring compliance, and collaborating with AI/ML teams.

Lead the architecture and development of AI solutions for healthcare, focusing on LLMs and multimodal AI systems, while ensuring compliance and collaboration across teams.

Develop and maintain responsive front-end applications using React and related frameworks; collaborate on scalable, secure services and APIs in a regulated healthcare environment; apply cloud/container basics and API framework familiarity; troubleshoot, communicate, and contribute to team-driven delivery.

The QA Engineer will design and maintain automation frameworks, validate AI/ML systems, and automate testing processes, ensuring high-quality AI applications.

The QA Engineer will execute integration and regression tests, debug issues, maintain automation frameworks, and improve testing processes within an agile environment.

The Senior QA Engineer will design and maintain automation frameworks, build AI-driven testing solutions, and optimize quality across the development lifecycle while collaborating with various teams.

The Senior QA Engineer will work with development and Product Management to develop quality software, execute test cases, and improve testing processes.

Manage end-to-end execution of customer-impacting initiatives in healthcare, ensuring alignment among product, engineering, and customer success teams while tracking risks and dependencies.