- Location
- Haryana, Gurugram International Techpark, Block I Phase 1 Floors G, 3, 4, 5, India
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 4+ years
- Education
- Master
- Source
- Workday
Description
Work Flexibility: Hybrid
What will you do:
- Design, develop, and maintain Windows desktop applications using C#, .NET 8+, WPF, and MVVM architecture for connected healthcare solutions.
- Develop and integrate gRPC and REST-based services to enable communication between medical devices, enterprise platforms, and cloud services.
- Build and support integrations with enterprise messaging platforms, and hospital workflow solutions.
- Develop AI-enabled features leveraging AI Speech/Voice Services, OCR/Document Intelligence, and analytics platforms.
- Collaborate with Product, Systems, QA, and Architecture teams to deliver high-quality, scalable, and secure software while participating in code reviews, design reviews, and Agile development activities.
What you need:
Required Qualifications
- Bachelor's or Master's degree in Computer Science, Electronics, Software Engineering, or a related field with 4–7 years of professional software development experience.
- Strong hands-on experience with C#, .NET Framework/.NET Core/.NET 8+, and WPF.
- Experience implementing MVVM, dependency injection, multithreading, and asynchronous programming patterns.
- Experience developing and consuming gRPC and REST APIs.
- Proficiency with Git, Azure DevOps, CI/CD pipelines, and automated testing frameworks (xUnit/NUnit/MSTest).
- Strong understanding of Object-Oriented Design, Design Patterns, SOLID principles, and software architecture.
- Experience troubleshooting and optimizing complex distributed or client-server applications.
Preferred Qualifications:
- Experience integrating Voice AI and Generative AI solutions, including Speech-to-Text (STT), Text-to-Speech (TTS), voice command frameworks, and OpenAI/LLM-based applications.
- Experience developing or integrating AI/ML-powered analytics solutions, including conversational AI, intelligent workflow automation, predictive analytics, and enterprise analytics platforms.
- Hands-on experience with OCR and Intelligent Document Processing technologies for data extraction and workflow automation.
- Experience building hospital enterprise integrations using event-driven architectures, enterprise messaging, notification, alerting, and cross-system communication frameworks.
- Experience integrating with EMR/EHR platforms (e.g., Epic, Cerner, Allscripts, Meditech) and implementing healthcare interoperability standards such as HL7, FHIR, and DICOM to support clinical workflow integration
Skills
AzureCI/CDGitRESTgRPCAgileDevOpsEMREHREpicFHIRHL7